WO2023109755A1 - 感知方法、装置及通信设备 - Google Patents

感知方法、装置及通信设备 Download PDF

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Publication number
WO2023109755A1
WO2023109755A1 PCT/CN2022/138389 CN2022138389W WO2023109755A1 WO 2023109755 A1 WO2023109755 A1 WO 2023109755A1 CN 2022138389 W CN2022138389 W CN 2022138389W WO 2023109755 A1 WO2023109755 A1 WO 2023109755A1
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Prior art keywords
information
measurement result
preprocessing
perception
perception measurement
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PCT/CN2022/138389
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English (en)
French (fr)
Inventor
姚健
姜大洁
袁雁南
丁圣利
李健之
任千尧
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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Priority to EP22906500.8A priority Critical patent/EP4451731A4/en
Publication of WO2023109755A1 publication Critical patent/WO2023109755A1/zh
Priority to US18/741,287 priority patent/US20240373254A1/en
Anticipated expiration legal-status Critical
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/02—Capturing of monitoring data
    • H04L43/022—Capturing of monitoring data by sampling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control

Definitions

  • the present application belongs to the technical field of communication, and in particular relates to a sensing method, device and communication equipment.
  • the communication system receives data processing flow is relatively fixed, and for the scenario where the communication system introduces the sensing function or the synaesthesia integration scene, due to the variety of sensing services, the receiving data processing flow of different sensing services may be quite different.
  • the requirements are also different, and it is difficult for the sensing measurement results directly obtained by the sensing device to meet the corresponding requirements.
  • Embodiments of the present application provide a sensing method, device, and communication device, which can solve the problem of how to obtain sensing measurement results that meet requirements.
  • a perception method including:
  • the first device preprocesses the first perception measurement result to obtain a second perception measurement result, where the first perception measurement result is a perception measurement corresponding to the perception measurement quantity obtained by the first device according to the received first signal result;
  • the first device reports the second perception measurement result to the second device.
  • a perception method including:
  • the second device acquires the second perception measurement result sent by the first device, the second perception measurement result is a perception measurement result obtained after preprocessing the first perception measurement result, and the first perception measurement result is the A perception measurement result corresponding to the perception measurement quantity obtained according to the received first signal.
  • a sensing device including:
  • a processing module configured to preprocess the first perception measurement result to obtain a second perception measurement result, where the first perception measurement result is obtained by the first device according to the received first signal and corresponds to the perception measurement quantity sensory measurements;
  • a reporting module configured to report the second perception measurement result to the second device.
  • a sensing device including:
  • the first acquisition module is configured to acquire a second perception measurement result sent by the first device, the second perception measurement result is a perception measurement result obtained after preprocessing the first perception measurement result, and the first perception measurement result is the perception measurement result corresponding to the perception measurement quantity obtained by the first device according to the received first signal.
  • a communication device in a fifth aspect, includes a processor and a memory, the memory stores programs or instructions that can run on the processor, and the programs or instructions are implemented when executed by the processor The steps of the sensing method as described in the first aspect or the second aspect.
  • a first device including a processor and a communication interface, wherein the processor is configured to preprocess the first perception measurement result to obtain a second perception measurement result, and the first perception measurement result is a perception measurement result corresponding to the perception measurement quantity obtained by the first device according to the received first signal, and the communication interface is configured to report the second perception measurement result to the second device.
  • a second device including a processor and a communication interface, wherein the communication interface is used to obtain a second perception measurement result sent by the first device, and the second perception measurement result is a comparison of the first A perception measurement result obtained after the perception measurement result is preprocessed, the first perception measurement result is a perception measurement result corresponding to the perception measurement quantity obtained by the first device according to the received first signal.
  • a sensing system including: a first device and a second device, the first device can be used to perform the steps of the sensing method described in the first aspect, and the second device can be used to perform the steps in the sensing method as described in the first aspect. The steps of the sensing method described in the second aspect.
  • a readable storage medium is provided, and programs or instructions are stored on the readable storage medium, and when the programs or instructions are executed by a processor, the steps of the method described in the first aspect are realized, or the steps of the method described in the first aspect are realized, or The steps of the method described in the second aspect.
  • a chip in a tenth aspect, includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the method as described in the first aspect , or implement the method described in the second aspect.
  • a computer program product is provided, the computer program product is stored in a storage medium, and the computer program product is executed by at least one processor to implement the steps of the sensing method as described in the first aspect, Or realize the steps of the method as described in the second aspect.
  • the first perception measurement result corresponding to the perception measurement quantity is obtained according to the received first signal
  • the first perception measurement result is preprocessed, so as to obtain the second perception measurement meeting the corresponding requirements result.
  • interpolation processing or sample value extraction processing is performed on the first perception measurement results on multiple resources, so that the processed second perception measurement results are obtained by uniformly sampling the first perception measurement results on the corresponding resources, so that the second Perceptual measurement results can meet the reporting requirements of uniform sampling.
  • the first sensing measurement result is combined or compressed, so that the second sensing measurement result can meet the reporting requirement of reducing reporting overhead.
  • FIG. 1 shows a structural diagram of a communication system applicable to an embodiment of the present application
  • FIG. 2 shows one of the schematic flowcharts of the sensing method in the embodiment of the present application
  • FIG. 3 shows a diagram of the perception network interface architecture of the embodiment of the present application
  • FIG. 4 shows a schematic diagram of the position of the sensing signal in the embodiment of the present application
  • FIG. 5 shows a schematic diagram of the time domain distribution of the first perception measurement result in the embodiment of the present application
  • FIG. 6 shows a schematic diagram of the time domain distribution of the second perception measurement result in the embodiment of the present application.
  • FIG. 7 shows a schematic diagram of the time-domain amplitude distribution of the first perception measurement result in the embodiment of the present application.
  • FIG. 8 shows a schematic diagram of the time-domain amplitude distribution of the second perception measurement result in the embodiment of the present application.
  • FIG. 9 shows a schematic diagram of the FFT calculation result of the first perception measurement result in the embodiment of the present application.
  • FIG. 10 shows the second schematic flow diagram of the sensing method in the embodiment of the present application.
  • FIG. 11 shows one of the module schematic diagrams of the sensing device of the embodiment of the present application.
  • FIG. 12 shows a structural block diagram of a communication device in an embodiment of the present application.
  • FIG. 13 shows a structural block diagram of a terminal in an embodiment of the present application.
  • FIG. 14 shows the second block diagram of the sensing device of the embodiment of the present application.
  • FIG. 15 shows one of the structural block diagrams of the network side device in the embodiment of the present application.
  • FIG. 16 shows the second structural block diagram of the network side device according to the embodiment of the present application.
  • first, second and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or described herein and that "first" and “second” distinguish objects. It is usually one category, and the number of objects is not limited. For example, there may be one or more first objects.
  • “and/or” in the description and claims means at least one of the connected objects, and the character “/” generally means that the related objects are an "or” relationship.
  • LTE Long Term Evolution
  • LTE-Advanced LTE-Advanced
  • LTE-A Long Term Evolution-Advanced
  • CDMA Code Division Multiple Access
  • TDMA Time Division Multiple Access
  • FDMA Frequency Division Multiple Access
  • OFDMA Orthogonal Frequency Division Multiple Access
  • SC-FDMA Single-carrier Frequency Division Multiple Access
  • system and “network” in the embodiments of the present application are often used interchangeably, and the described technology can be used for the above-mentioned system and radio technology, and can also be used for other systems and radio technologies.
  • NR New Radio
  • the following description describes the New Radio (NR) system for illustrative purposes, and uses NR terminology in most of the following descriptions, but these techniques can also be applied to applications other than NR system applications, such as the 6th generation (6 th Generation, 6G) communication system.
  • 6G 6th Generation
  • Fig. 1 shows a block diagram of a wireless communication system to which the embodiment of the present application is applicable.
  • the wireless communication system includes a terminal 11 and a network side device 12 .
  • the terminal 11 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer) or a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a palmtop computer, a netbook, a super mobile personal computer (ultra-mobile personal computer, UMPC), mobile Internet device (Mobile Internet Device, MID), augmented reality (augmented reality, AR) / virtual reality (virtual reality, VR) equipment, robot, wearable device (Wearable Device) , Vehicle User Equipment (VUE), Pedestrian User Equipment (PUE), smart home (home equipment with wireless communication functions, such as refrigerators, TVs, washing machines or furniture, etc.), game consoles, personal computers (personal computer, PC), teller machine or self-service machine and other terminal side devices, wearable devices include: smart watches, smart bracelet
  • the network side device 12 may include an access network device or a core network device, where the access network device may also be called a radio access network device, a radio access network (Radio Access Network, RAN), a radio access network function, or a wireless network. access network unit.
  • RAN Radio Access Network
  • RAN Radio Access Network
  • the access network equipment may include a base station, a wireless local area network (Wireless Local Area Network, WLAN) access point or a wireless fidelity (Wireless Fidelity, WiFi) node, etc.
  • the base station may be called a node B, an evolved node B (eNB), an access network Access Point, Base Transceiver Station (BTS), Radio Base Station, Radio Transceiver, Basic Service Set (BSS), Extended Service Set (ESS), Home Node B, Home Evolution Type B node, Transmitting Receiving Point (Transmitting Receiving Point, TRP) or some other suitable term in the field, as long as the same technical effect is achieved, the base station is not limited to specific technical terms.
  • eNB evolved node B
  • BTS Base Transceiver Station
  • BSS Basic Service Set
  • ESS Extended Service Set
  • TRP Transmitting Receiving Point
  • TRP Transmitting Receiving Point
  • Core network equipment may include but not limited to at least one of the following: core network nodes, core network functions, mobility management entities (Mobility Management Entity, MME), access mobility management functions (Access and Mobility Management Function, AMF), session management functions (Session Management Function, SMF), User Plane Function (UPF), Policy Control Function (Policy Control Function, PCF), Policy and Charging Rules Function (PCRF), edge application service Discovery function (Edge Application Server Discovery Function, EASDF), unified data management (Unified Data Management, UDM), unified data storage (Unified Data Repository, UDR), home subscriber server (Home Subscriber Server, HSS), centralized network configuration ( Centralized network configuration, CNC), network storage function (Network Repository Function, NRF), network exposure function (Network Exposure Function, NEF), local NEF (Local NEF, or L-NEF), binding support function (Mobility Management Entity, MME), access mobility management functions (Access and Mobility Management Function, AMF), session management functions (Session Management Function, SMF), User
  • the integration of communication and perception refers to the integrated design of communication and perception functions through spectrum sharing and hardware sharing in the same system. While transmitting information, the system can perceive information such as orientation, distance, and speed, and detect target objects or events. , tracking, identification, communication system and perception system complement each other to improve the overall performance and bring better service experience.
  • Perception capability that is, one or more devices with perception capability, which can perceive the orientation, distance, speed and other information of the target object through the transmission and reception of wireless signals, or detect, track, and detect the target object, event or environment. identification, imaging, etc.
  • 6G networks With the deployment of millimeter-wave, terahertz and other small base stations with high-frequency and large-bandwidth capabilities in 6G networks, the resolution of perception will be significantly improved compared with centimeter waves, so that 6G networks can provide more refined perception services.
  • radar system and communication system were strictly distinguished due to different research objects and focuses. In most scenarios, the two systems were distributed for research. In fact, radar and communication systems are also typical ways of sending, acquiring, processing and exchanging information. There are many similarities in terms of working principle, system architecture and frequency band.
  • the design of communication and radar integration has great feasibility, which is mainly reflected in the following aspects:
  • the communication system and the perception system are both based on the theory of electromagnetic waves, and use the emission and reception of electromagnetic waves to complete information acquisition and transmission;
  • Both the communication system and the perception system have structures such as antennas, transmitters, receivers, and signal processors, and there is a large overlap in hardware resources; with the development of technology, there are more and more overlaps in the working frequency bands between the two;
  • there are similarities in key technologies such as signal modulation, reception detection, and waveform design.
  • the integration of communication and radar systems can bring many advantages, such as saving costs, reducing size, reducing power consumption, improving spectral efficiency, reducing mutual interference, etc., thereby improving the overall system performance.
  • the typical joint design includes spectrum coexistence, that is, the two systems work independently, which can allow information exchange to reduce mutual interference; receiving end sharing, at this time
  • the transmitters of the two systems send their respective signal waveforms, and the waveforms of the two systems need to be orthogonal so as not to affect their respective reception and detection;
  • the transmitters share that is, the transmitter transmits the combined waveform of radar and communication;
  • the transceivers share that is, the two systems transmit and receive
  • the transmitting end transmits signals for sensing, and then receives and analyzes the echo signals by itself to extract sensing parameters.
  • the base station is used as a sensor for sensing
  • the sending end and receiving end of the signal, the terminal or other objects are used as the sensing target; it can also be based on dual-station/multi-station mode sensing, that is, the sending and receiving ends are not co-located, the sending end transmits the signal for sensing, and the other receiving end receives and Analyze and extract sensing parameters, for example, base station 1 is used as a signal sending end for sensing, and the terminal or base station 2 is used as a signal receiving end for sensing.
  • the transmitting end of single-station or multi-station mode sensing may also be a terminal.
  • the communication system needs to jointly send the modulation symbols carrying information and the pilot symbols used for channel estimation, focusing on decoding performance, and its channel estimation algorithm only needs to estimate the composite channel with limited unknown parameters, usually to improve throughput and transmission reliability Performance is the optimization goal, and the performance indicators concerned are generally spectral efficiency, channel capacity, Signal to Noise Ratio (SNR), Signal-To-Noise And Interference Ratio (SINR), and bit error Bit Error Rate (BER), Data Block Error Rate (Block Error Rate, BLER) and Symbol Error Rate (Symbol Error Rate, SER), etc.
  • SNR Signal to Noise Ratio
  • SINR Signal-To-Noise And Interference Ratio
  • BER bit error Bit Error Rate
  • BLER Block Error Rate
  • SER Symbol Error Rate
  • Performance metrics could be fuzzy functions, Cramerot lower bounds, root mean square error, mutual information, rate-distortion functions, radar estimated velocity, Welch lower bounds, and some metrics associated with the perception scenario and needs.
  • the embodiment of this application provides a perception method, including:
  • Step 201 The first device preprocesses the first perception measurement result to obtain a second perception measurement result, the first perception measurement result is obtained by the first device according to the received first signal and corresponds to the perception measurement quantity perception measurement results.
  • the above-mentioned preprocessing includes at least one of the following:
  • the first signal includes at least one of the following signal types:
  • the sensing signal in the embodiment of the present application may specifically be a signal used to obtain information such as azimuth, distance, and speed of a target object, or a signal for detecting, tracking, identifying, and imaging a target object, event, or environment.
  • the sensory signal includes at least one of the following:
  • Radar commonly used signals such as frequency modulated continuous wave (Continuous Wave, CW) signal, frequency modulated continuous wave (Frequency Modulated Continuous Wave, FMCW) signal, simple pulse signal, chirp (Chirp) pulse signal, etc.;
  • the aforementioned communication signal may be at least one of a communication reference signal and a data signal, including at least:
  • Physical downlink control channel Physical downlink control channel (Physical downlink control channel, PDCCH)/demodulation reference signal (Demodulation Reference Signal, DMRS) of paging PDCCH, physical downlink shared channel (Physical downlink shared channel, PDSCH)/DMRS of paging PDSCH, physical uplink DMRS of Physical Uplink Shared Channel (PUSCH), DMRS of Physical Uplink Control Channel (PUCCH), DMRS of Physical Broadcast Channel (PBCH), CSI Reference Signal (CSI Reference Signal, CSI -RS), sounding reference signal (Sounding Reference Signal, SRS) phase tracking reference signal (Phase-tracking reference signal, PTRS), positioning reference signal (Positioning Reference Signal, PRS), tracking reference signal (Tracking Reference Signal, TRS), Primary Synchronization Signal (PSS), Secondary Synchronization Signal (SSS), etc.; data symbols in data channels PDSCH, PUSCH, PBCH, etc.
  • PDCCH Physical downlink control channel
  • PDSCH Physical downlink
  • the above synaesthesia integrated signal is a signal that can be used for both communication and perception.
  • the sensory measurement includes at least one of the following:
  • Target parameter information determined based on original channel information.
  • the original channel information includes at least one of the following:
  • Channel State Information such as the amplitude/amplitude square and/or phase of the frequency domain channel response, or the I-channel and Q-channel signal characteristics of the frequency-domain channel response, such as the I-channel and Q-channel signal amplitudes / Magnitude squared.
  • the signal strength information includes at least one of the following:
  • RSRP Reference Signal Received Power
  • RSSI Received Signal Strength Indicator
  • the spectral information includes at least one of the following:
  • PDP Power-Delay Profile
  • Power Angle Spectrum (Power Azimuth Spectrum, PAS);
  • Pseudospectral information for example, Multiple Signal Classification (MUSIC) spectra.
  • MUSIC Multiple Signal Classification
  • the multipath information includes at least one of the following:
  • the power of each path in the multipath channel (including at least the first arrival path, line of sight wireless transmission (Line Of Sight, LOS) path, first-order reflection path, and multi-order reflection path);
  • the difference information of signals corresponding to different antennas includes at least one of the following:
  • the quotient or conjugate product of the frequency domain channel response of the first antenna and the second antenna (or the magnitude or phase of the quotient or conjugate product of the frequency domain channel response of the first antenna and the second antenna, or the magnitude or phase of the first antenna and the second antenna
  • the projection operation of the quotient or conjugate multiplication of the frequency domain channel response of the two antennas or the I or Q path of the frequency domain channel response of the first antenna and the second antenna or the conjugate multiplication of the I or Q path, projection The operation can be I*cos(theta)+Q*sin(theta), where theta is a certain angle value, different thetas correspond to different projections, I represents I-way data, Q represents Q-way data));
  • the delay difference between the signals of the first antenna and the second antenna is the delay difference between the signals of the first antenna and the second antenna.
  • the target parameter information determined based on the original channel information includes at least one of the following:
  • the angle information includes at least one of the following:
  • the angle information includes UE-side angle information, base station-side angle information, and reflection point angle information.
  • Step 202 The first device reports the second perception measurement result to a second device.
  • the first perception measurement result corresponding to the perception measurement quantity is obtained according to the received first signal
  • the first perception measurement result is preprocessed, so as to obtain the second perception measurement result that meets the corresponding requirements .
  • interpolation processing or sample value extraction processing is performed on the first perception measurement results on multiple resources, so that the processed second perception measurement results are obtained by uniformly sampling the first perception measurement results on the corresponding resources, so that the second The perception measurement result can meet the reporting requirement of uniform sampling.
  • the first perception measurement result can be combined or compressed so that the second perception measurement result can meet the reporting requirement of reducing reporting overhead.
  • the first device performs preprocessing on the first perception measurement result, including:
  • the first device acquires preprocessing information of the first perception measurement result indicated by the second device;
  • the first device performs preprocessing on the first perception measurement result according to the preprocessing information.
  • the first device acquires preprocessing information of the first perception measurement result indicated by the second device, including:
  • the first device acquires the preprocessing information according to the target indication information sent by the second device;
  • the target indication information includes at least one of preprocessing indication information and perception indication information
  • the preprocessing indication information is used to indicate the preprocessing information
  • the perception indication information is associated with the preprocessing information .
  • the preprocessing information may be directly indicated through the above preprocessing indication information, or the preprocessing information may be indirectly indicated through the perceptual indication information.
  • the preprocessing information includes at least one of the following:
  • Whether to perform preprocessing on the first perception measurement result for example, using 1-bit information to indicate that when the 1-bit information is 0, it indicates that the first perception measurement result is not preprocessed, and when the 1-bit information is 1, it indicates that the first perception measurement result is not preprocessed.
  • the results are preprocessed;
  • Condition information for starting preprocessing for example, when the preprocessing method is interpolation, the condition information may specifically be that the proportion of valid sampling points of the first sensory measurement result is greater than the first preset threshold; when the preprocessing method is sample extraction , the condition information may specifically be that the sampling rate of the first perception measurement result is higher than a certain preset threshold, or the data volume of the first perception measurement result is greater than a certain preset threshold; when the preprocessing method is clutter suppression, the The condition information may specifically be that the clutter component of the first perception measurement result is greater than a certain preset threshold; when the preprocessing method is noise suppression processing, the condition information may be that the SNR of the first perception measurement result is less than a second preset threshold, Or, it is within a preset interval; when the preprocessing method is to remove outliers, the condition information can specifically be that the variance of the first perception measurement result is higher than a certain preset threshold; when the preprocessing method is filtering, The condition information may be that the sum of signal amplitudes in
  • the first parameter includes at least one of ratio information of valid samples and a perceptual performance index.
  • the requirement information of the first parameter corresponding to the first perception measurement result for example, the requirement information is that the proportion of effective sampling points corresponding to the first perception measurement result is greater than a predetermined threshold, or the first perception measurement result If the perceptual performance index corresponding to the result is greater than a predetermined threshold, it is determined that the first perceptual measurement result is invalid when the proportion of valid sampling points corresponding to the first perceptual measurement result is less than the predetermined threshold, or the perceptual performance index corresponding to the first perceptual measurement result If it is determined that the first perception measurement result is invalid when it is smaller than the predetermined threshold, the first device may not perform preprocessing on the first perception measurement result.
  • the requirement information of the first parameter corresponding to the second perception measurement result is that the proportion of effective sampling points corresponding to the second perception measurement result is greater than a predetermined threshold, or the perception performance index corresponding to the second perception measurement result is greater than If the predetermined threshold is determined, after preprocessing the first perception measurement result, it is determined that the proportion of valid sampling points of the second perception measurement result is less than the predetermined threshold, or the perception performance index of the second perception measurement result is less than the predetermined threshold, then the report may not be reported. Second Perceptual Measurement Results.
  • the pretreatment method includes at least one of the following:
  • Interpolation processing can be time domain interpolation to obtain the second perception measurement result at a specific time point, or frequency domain interpolation to obtain the second perception measurement result at a specific frequency point, or space domain interpolation to obtain the second perception measurement result of a specific antenna or spatial position.
  • Perceptual measurement results may be selecting the first perceptual measurement result for interpolation according to the perceptual performance index corresponding to the first perceptual measurement result, specifically, From at least one first sensory measurement result corresponding to a resource location close to the target resource location (time domain, frequency domain, air domain), select at least one first sensory sensor with the best sensory performance index or with a sensory performance index exceeding a preset threshold The measurements are used for interpolation;
  • Sample value extraction processing which can be time domain sample value extraction, frequency domain sample value extraction or space domain sample value extraction;
  • the method may be, for example, removing the static clutter component in the perception measurement result by removing direct current (mean value in time domain);
  • Noise suppression processing suppressing the noise in the second perception measurement result
  • the method can be, for example, transform domain noise suppression (Discrete Fourier Transform (Discrete Fourier Transform, DFT) noise suppression), average noise suppression, minimum mean square error (Minimum Mean Square Error) , MMSE) filter noise suppression, discrete wavelet transform (Discrete Wavelet Transform, DWT) noise suppression, principal component analysis (Principal Component Analysis, PCA) noise suppression, etc.;
  • transform domain noise suppression Discrete Fourier Transform (Discrete Fourier Transform, DFT) noise suppression
  • average noise suppression minimum mean square error (Minimum Mean Square Error)
  • Minimum Mean Square Error Minimum Mean Square Error
  • MMSE minimum mean square error
  • filter noise suppression discrete wavelet transform
  • DWT discrete wavelet Transform
  • PCA Principal Component Analysis
  • the processing to the outlier can be to discard or replace, and method can be for example: absolute median deviation (Median Absolute Deviation, MAD) algorithm or Hampel Filtering method, standard deviation method, percentile method, etc.;
  • Filtering processing can be low-pass filtering, high-pass filtering, band-pass filtering or band-stop filtering, or specific filtering methods, such as Savitzky-Golay filtering, Hampel filtering, Alpha filtering, Kalman filtering, Butterworth filtering, Chebyshev filtering, Elliptic filtering Filtering, Equiripple filtering, etc.;
  • combining which may be summation, difference, product, quotient, conjugate multiplication, correlation, convolution, etc., of at least two first perceptual measurements;
  • Compression processing can be transform domain compression, for example, after transforming time domain data to Doppler domain data, retain sample points whose amplitude values exceed the threshold, or transform frequency domain data to time delay domain data, and then retain sample points whose amplitude values exceed the threshold Sample points, or after transforming the time-frequency domain data into time-delay-Doppler domain data, retain the sample points whose amplitude value exceeds the threshold, or other compression methods, such as variable-rate Huffman coding, A-law coding, ⁇ -law coding, etc.
  • the preprocessing parameter information includes at least one of the following:
  • Threshold information of the target signal-to-noise ratio SNR is the target signal-to-noise ratio SNR
  • the above preprocessing parameter information includes at least one of the following: interpolation method; interpolation density; interpolation number; time domain resource information corresponding to the second perception measurement result , frequency domain resource information or spatial resource information.
  • the above preprocessing parameter information includes at least one of the following: extraction method; extraction density; extraction number; time domain corresponding to the second sensory measurement result Resource information, frequency domain resource information or spatial resource information.
  • the above-mentioned time-domain resource information may be a time point, time window, period, or time-domain density corresponding to the second perception measurement result, and the time point may be one or more, and the representation of the time-domain resource information may be absolute time, For example, expressed by Universal Time Coordinated (UTC), or expressed by frame number, field number, subframe number or time slot number, or relative time.
  • UTC Universal Time Coordinated
  • the above frequency domain resource information may be the frequency point, frequency range or frequency domain density corresponding to the second sensing measurement result, and the frequency resource representation may be a real frequency value or a subcarrier (SubCarrier, SC) or a resource element (Resource Element, RE) Or Physical Resource Block (Physical Resource Block, PRB);
  • SubCarrier SC
  • Resource Element RE
  • Physical Resource Block Physical Resource Block
  • the foregoing spatial resource information may be a receiving antenna index, a transmitting antenna index, a transmitting and receiving antenna index, or a spatial position coordinate corresponding to the second sensing measurement result.
  • the preprocessing parameter information when the preprocessing method is clutter suppression processing, includes at least one of a clutter suppression method and a window size for removing direct current.
  • the above preprocessing parameter information includes at least one of a noise suppression algorithm and a target SNR threshold.
  • the above preprocessing parameter information includes at least one of the following: method of outlier elimination, outlier processing (discarding, replacement), outlier The window size for cluster value elimination.
  • the above preprocessing parameter information includes at least one of the following: filtering methods, such as low-pass filtering, high-pass filtering, band-pass filtering, band-stop filtering, and relative Corresponding filter parameters, the specific filter used.
  • the above-mentioned preprocessing parameter information includes at least one of the following: merging method, the number of first perception measurement results to be combined and requirements (for example, the corresponding perception The performance index exceeds the preset threshold), the combination dimension (for example, whether to combine in the time domain or in the frequency domain, etc.).
  • the above preprocessing parameter information includes at least one of the following: compression method, compression ratio, and data size of the second perception measurement result obtained after compression.
  • the perception indication information includes at least one of the following:
  • the algorithm information of the perception result is obtained according to the perception measurement result, and the algorithm information includes the algorithm type, for example, using Fast Fourier Transform (Fast Fourier Transform, FFT)/Inverse Fast Fourier Transform (Inverse Fast Fourier Transform, IFFT) or wavelet Transform or MUSIC or signal parameter estimation based on rotation invariant technology (Estimation of Signal Parameters using Rotational Invariance Techniques, ESPRIT) or Compressed Sensing (Compressed Sensing, CS) algorithms, etc.;
  • Perceptual performance index information includes the definition/calculation method of the perceptual performance index, the threshold of the perceptual performance index, and the like.
  • the perceived performance index includes at least one of the following:
  • Perception accuracy/perception error perception resolution, perception range, perception delay, detection probability, false alarm probability, number of simultaneously detected targets, SNR, RSRP, RSSI of the signal used for perception, reference signal receiving quality (Reference Signal Receiving Quality, RSRQ), signal-to-clutter ratio, signal sidelobe characteristics (signal main lobe sidelobe ratio), peak-to-average ratio (Peak to Average Power Ratio, PAPR), variance, standard deviation, mean absolute deviation, peak size, for The ratio of the signal component of interest for perception to the other signal components used for perception.
  • the target signal component is a signal component that is greatly affected by the perception target in the received signal used for perception, and may be:
  • the amplitude or the square of the amplitude corresponding to the sample point with the largest amplitude in the frequency domain channel response of the received signal, or the amplitude and/or the sum of the squares of the amplitude corresponding to multiple sample points with the largest amplitude, or the corresponding value of a specified SC or PRB The amplitude (or amplitude square) of the sample point, or the amplitude sum (or amplitude square sum) of multiple specified SC or PRB corresponding sample points;
  • other signal components may be the sum or the square sum of the amplitudes corresponding to all sample points of the channel response in the frequency domain of the received signal, or the mean value or the square mean value of the amplitudes corresponding to all sample points, or divide the amplitude
  • the amplitude and/or the sum of the squares of the amplitudes and/or the squares of the amplitudes corresponding to all or part of the sample points other than the one or several sample points corresponding to the specified SC or PRB, or the one or several maximum amplitudes The mean value or square mean value of the amplitude corresponding to all or part of the sample points other than the sample point corresponding to the specified SC or PRB;
  • IFFT inverse Fourier transform
  • other signal components may be the amplitude and/or the square sum of the amplitudes corresponding to all sample points in the inverse Fourier transform (IFFT) result of the frequency domain channel response of the received signal, or the amplitude corresponding to all sample points
  • IFFT inverse Fourier transform
  • the amplitude or the square of the amplitude corresponding to the sample point with the largest amplitude, or the amplitude and/or the sum of the squares of the amplitude corresponding to multiple sample points with the largest amplitude It is the frequency domain channel response corresponding to a certain frequency resource such as SC or RE or PRB of the received signal at different sampling moments within a period of time, or the amplitude or the square of the amplitude or phase of the frequency domain channel response or the I channel data or Q channel data, or the first operation of I road data and Q road data (the first operation can be I*cos(theta)+Q*sin(theta), wherein theta is a certain angle value, and I represents I road data, Q represents the data formed by the results of Q road data);
  • the other signal components may be the amplitude and/or the square sum of the amplitudes corresponding to all sample points in the FFT result of the first time domain data, or the mean value or the square mean value of the amplitudes corresponding to all sample points, or divided by all
  • the two-dimensional Fourier transform result of the channel response of the received signal that is, the amplitude or the square of the amplitude corresponding to the sample point with the largest amplitude in the delay-Doppler domain result, or the sum of the amplitudes corresponding to multiple sample points with the largest amplitude /or sum of squares of magnitude;
  • other signal components may be the amplitude and/or the square sum of the amplitudes corresponding to all sample points of the channel response in the frequency domain of the received signal, or the mean value or the square mean value of the amplitudes corresponding to all sample points, or the The amplitude and/or the sum of the squares of the amplitudes corresponding to all or part of the sample points other than one or several sample points with the largest amplitude, or all or all other sample points except one or several sample points with the largest amplitude
  • the channel response of the received signal is the amplitude or the square of the amplitude corresponding to the sample point with the largest amplitude in the pseudo spectrum (such as the MUSIC spectrum) obtained by calculation, or the amplitude and/or the sum of the squares of the amplitude corresponding to multiple sample points with the largest amplitude ;
  • other perceptual signal components may be the amplitude and/or the square sum of the amplitudes corresponding to all sample points in the pseudo spectrum, or the mean value or the square mean value of the amplitudes corresponding to all sample points, or the one except the one with the largest amplitude or the amplitude and/or the sum of the squares of the amplitudes corresponding to all or part of the sample points other than a few sample points, or all or part of the sample points except the one or several sample points with the largest amplitude
  • the mean or square mean of the corresponding magnitudes may be the amplitude and/or the square sum of the amplitudes corresponding to all sample points in the pseudo spectrum, or the mean value or the square mean value of the amplitudes corresponding to all sample points, or the one except the one with the largest amplitude or the amplitude and/or the sum of the squares of the amplitudes corresponding to all or part of the sample points other than a few sample points, or all or part of the sample points except the one or
  • the frequency-domain channel response of the received signal may be a combination of transmitting and receiving antennas (such as antenna 1 transmitting antenna 1 receiving or antenna 1 transmitting
  • the frequency-domain channel response corresponding to antenna 2 (2) may also be a combination of frequency-domain channel responses corresponding to at least two transceiver antenna combinations, for example, a quotient or a conjugate product of frequency-domain channel responses corresponding to two transceiver antenna combinations.
  • the perceived demand information includes at least one of the following:
  • Sensing business types such as environment reconstruction, breathing detection, action recognition, etc.
  • Sensing area for example, the geographic coordinates of the sensing area, the length, width, and height distance of the sensing area, etc.;
  • Perceived target types such as cars, motorcycles, pedestrians, etc.
  • the side indicates the moving speed range of the perceived target and the reflected power level of the wireless signal
  • the quality of service (Quality of Service, QoS) of perception/synthetic integration can include perception/synthetic integration business type, perception/synthetic integration business priority, perception resolution requirements, perception accuracy or perception error requirements , Sensing delay budget, requirements for maximum sensing range, requirements for continuous sensing capabilities, requirements for sensing update frequency, etc., as well as communication QoS (for synaesthesia integrated services), such as communication delay budget, false alarm rate, etc.;
  • the number of sensing targets in the sensing area is the number of sensing targets in the sensing area
  • the perception measurement quantity in the above perception indication information has been explained in the above description and will not be repeated here.
  • the perception measurement quantity corresponds to the first perception measurement result and is used to instruct the second device to A corresponding first perception measurement is calculated.
  • the first device before performing preprocessing on the first perception measurement result according to the preprocessing information, the first device further includes:
  • the first device sends feedback information of the pre-processing information to the second device, the feedback information includes first feedback information or second feedback information, and the first feedback information is used to instruct the second device to re-instruct the pre-processing information information, the second feedback information is used to instruct the second device to reconfigure the first signal; then
  • the first device preprocessing the first perception measurement result according to the preprocessing information includes: if the feedback information includes the first feedback information, the first device according to the The second device performs preprocessing on the first perception measurement result by using the preprocessing information newly indicated by the preprocessing instruction information;
  • the first device obtains a first perception measurement result according to the first signal reconfigured by the second device;
  • the first perceptual measurement result is preprocessed.
  • the first device notifies the second device to change the preprocessing information or change the configuration of the first signal through the above feedback information, so as to ensure that the second perception measurement result can meet the corresponding requirements.
  • the first device sends the feedback information of the preprocessing information to the second device, including:
  • the first device sends the feedback information to the second device;
  • the target condition includes at least one of the following:
  • the first device does not support the preprocessing mode indicated by the preprocessing information (due to capability limitations of the first device);
  • the first parameter corresponding to the second perception measurement result does not meet the requirement information indicated by the second device, for example, after interpolation is performed on the first perception measurement result, the perception accuracy corresponding to the second perception measurement result does not meet the perception indication information Threshold requirements for perception accuracy indicated in ;
  • the first parameter corresponding to the first perception measurement result does not meet the requirement information indicated by the second device
  • the first parameter includes at least one of ratio information of valid samples and a perceptual performance index.
  • the method further includes:
  • the first device sends preprocessing capability information to the second device, where the preprocessing capability information is used to indicate the preprocessing capability supported by the first device, and the preprocessing capability information is used to determine the preprocessing information.
  • the preprocessing capability information includes a preprocessing mode supported by the first device and/or preprocessing parameter information associated with the preprocessing mode.
  • the preprocessing method and preprocessing parameter information have been described in detail above, and will not be repeated here.
  • the first device sends its supported preprocessing capability to the second device, so that the second device configures preprocessing information for it according to the preprocessing capability.
  • the first device may be a base station or UE
  • the second device may be a sensing network function device of the core network. Or a perception network element, or a base station or a UE.
  • Base station A sends a signal for sensing, and base station B receives a signal for sensing:
  • Base station B serves as the first device, and base station A serves as the second device;
  • the base station A/B serves as the first device, and the core network serves as the second device.
  • Mode 2 The base station sends a signal for sensing, and the UE receives the signal for sensing:
  • the base station serves as the second device, and the UE serves as the first device;
  • the core network serves as the second device, and the base station/UE serves as the first device.
  • Mode 3 The base station sends and receives spontaneously:
  • the core network serves as the second device, and the base station serves as the first device.
  • Mode 4 UE sends and receives spontaneously:
  • the base station acts as the second device, and the UE acts as the first device
  • the core network serves as the second device, and the UE serves as the first device.
  • Mode 5 UE sends, base station receives:
  • the core network serves as the second device, and the base station serves as the first device.
  • Method 6 UE A sends, UE B receives:
  • UE A is the second device
  • UE B is the first device
  • the access base station of UE A/B is used as the second device, and UE A/B is used as the first device;
  • the core network is used as the second device, and UE A/B is used as the first device.
  • the signal sending device in the embodiment of the present application may be multiple devices, and the signal receiving device may be multiple devices;
  • the above-mentioned base station may also be TRP, AP, Relay, Reconfigurable Intelligent Surface (Reconfigurable Intelligent Surface, RIS), etc.;
  • the sensing measurement execution methods can be divided into the following four scenarios:
  • the base station sends a signal, and the UE receives the signal and calculates the second sensing measurement result that needs to be reported to the base station or the core network;
  • the UE sends and receives signals spontaneously and calculates and obtains the second sensing measurement result that needs to be reported to the base station or the core network;
  • UE A sends a signal
  • UE B receives the signal and calculates the second sensing measurement result that needs to be reported to UE A or the base station or the core network (the second sensing measurement result can be directly reported by UE B to the base station, or UE B can send it first to UE A, and then UE A reports to the base station);
  • UE A sends a signal
  • UE B receives the signal and calculates the first sensing measurement result that needs to be reported to UE A
  • UE A calculates the second sensing measurement that needs to be reported to the base station or core network based on the first sensing measurement result reported by UE B result;
  • the sensing measurement execution methods can be divided into the following seven scenarios:
  • the base station sends a signal, the UE receives the signal and calculates a first sensing measurement result that needs to be reported to the base station, and the base station calculates a second sensing measurement result that needs to be reported to the core network according to the first sensing measurement result reported by the UE;
  • the UE sends a signal, and the base station receives the signal and calculates the second sensing measurement result that needs to be reported to the core network;
  • the base station sends and receives signals spontaneously and calculates the second sensing measurement result that needs to be reported to the core network;
  • Base station A sends a signal
  • base station B receives the signal and calculates the second sensing measurement result that needs to be reported to the core network (the second sensing measurement result can be directly reported by base station B to the core network, or it can be sent by base station B to base station A first, Then the base station A reports to the core network);
  • Base station A sends a signal
  • base station B receives the signal and calculates the first sensing measurement result that needs to be reported to base station A
  • base station A calculates the second sensing measurement result that needs to be reported to the base station or core network based on the first sensing measurement result reported by base station B result;
  • the UE spontaneously sends and receives signals and calculates the first sensing measurement result that needs to be reported to the base station, and the base station calculates the second sensing measurement result that needs to be reported to the core network according to the first sensing measurement result reported by the UE;
  • UE A sends a signal
  • UE B receives the signal and calculates the first sensing measurement result that needs to be reported to the base station (the first sensing measurement result can be directly reported by UE B to the base station, or UE B can first send it to UE A, and then UE A reports to the base station), and the base station calculates the second sensing measurement result that needs to be reported to the core network according to the first sensing measurement result reported by the UE.
  • the sensing network interface architecture in the embodiment of the present application is shown in Figure 3.
  • the method for the UE to report the second sensing measurement result to the network function device or network element (such as the sensing network function device or sensing network element) of the core network may be: Resource control (Radio Resource Control, RRC) signaling or media access control layer (Mediu Access Control, MAC) control element (Control Element, CE) or non-access stratum (Non Access Stratum, NAS) signaling (to AMF) or Layer 1 signaling (uplink control information (Uplink Control Information, UCI)) or other newly defined perception signaling, can also be reported through the user plane (for example, the core network is a protocol data unit (Protocol Data Unit, PDU) session (session) , the RAN side is a data radio bearer (Data Radio Bearer, DRB), or a dedicated user plane channel for perception);
  • RRC Radio Resource Control
  • MAC Medium Access Control
  • CE Control Element
  • Non Access Stratum Non Access Stratum
  • the specific transmission method can be through the uplink control channel or traffic channel or random access channel in the connected state, such as PUCCH, PUSCH, or in the idle state/inactive state by initiating small Data transmission (Small Data Transmission, SDT), or through MSG1 or MSG3 or MSG A in the random access process, can also be reported to the base station through the newly defined sensing dedicated channel, the base station sends it to the AMF through the N2 interface, and the AMF forwards it to the core
  • the network function device or network element of the core network such as the sensory network function device/perception network element
  • the base station sends it to the UPF through the N3 interface, and the UPF forwards it to the network function device or network element of the core network (such as the sensory network function device/perception network element), or the base station sends to the network function device or network element of the core network through the newly defined interface (such as the sensory network function device/sensory network element);
  • the method for the UE to report the second sensing measurement result to the base station may be: using RRC signaling or MAC CE or layer 1 signaling (UCI) or other newly defined sensing signaling, or sensing dedicated data interaction channel;
  • the specific transmission method can be through the uplink control channel or traffic channel or random access channel in the connected state, such as PUCCH, PUSCH, or by initiating SDT in the idle/inactive state, or through the random access process MSG1 or MSG3 or MSG A reported to the base station, or through the newly defined sensing dedicated channel;
  • the method for UE B to report the second sensing measurement result to UE A may be: using RRC signaling or MAC CE or layer 1 signaling (secondary link control information (Sidelink Control Information, SCI)) or other newly defined signaling bearers, Or perceive a dedicated data interaction channel;
  • RRC signaling or MAC CE or layer 1 signaling secondary link control information (Sidelink Control Information, SCI)
  • SCI Segmentlink Control Information
  • the specific transmission method can be through the sidelink control channel or traffic channel or feedback channel, such as the physical sidelink control channel (Physical SideLink Control Channel, PSCCH), the physical sidelink shared channel (Physical SideLink SideLink Shared Channel, PSSCH), Physical SideLink Feedback Channel (Physical SideLink Feedback Channel, PSFCH), or through the newly defined sensory dedicated channel.
  • the sidelink control channel or traffic channel or feedback channel such as the physical sidelink control channel (Physical SideLink Control Channel, PSCCH), the physical sidelink shared channel (Physical SideLink SideLink Shared Channel, PSSCH), Physical SideLink Feedback Channel (Physical SideLink Feedback Channel, PSFCH), or through the newly defined sensory dedicated channel.
  • PSCCH Physical SideLink Control Channel
  • PSSCH Physical SideLink Shared Channel
  • PSFCH Physical SideLink Feedback Channel
  • the base station sends it to the AMF through the N2 interface, and the AMF forwards it to the network function or network element of the core network (such as a network function device/awareness network element), or the base station sends it to the UPF through the N3 interface, and the UPF forwards it to the network function device or network element of the core network.
  • a network element such as a network-aware function device/aware network element
  • a base station sends to a network function device or network element (such as a network-aware function device/aware network element) of the core network through a newly defined interface.
  • perception services involved in the embodiments of this application include but are not limited to the following services:
  • Object feature detection information that can reflect the properties or state of the target object, which can be at least one of the following: the position of the target object, the speed of the target object, the acceleration of the target object, the material of the target object, the shape of the target object, the target The type of object, the radar cross-sectional area RCS (Radar Cross Section, RCS) of the target object, polarization scattering characteristics, etc.;
  • RCS Radar Cross Section
  • Event detection information related to the target event, that is, information that can be detected/perceived when the target event occurs, which can be: fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip recognition, gait recognition, Expression recognition, breathing monitoring, heart rate monitoring, sound source identification, etc.;
  • Environmental detection humidity, brightness, temperature and humidity, atmospheric pressure, air quality, weather conditions, topography, building/vegetation distribution, population statistics, crowd density, vehicle density, etc.
  • the specific methods of interpolation processing include at least one of the following:
  • Copy interpolation directly use the first perception measurement result corresponding to the resource location adjacent to the target resource location as the second perception measurement result corresponding to the target resource location;
  • Linear interpolation a first-order polynomial interpolation method.
  • the weighting factor is determined according to the distance between the resource location corresponding to the two known sensory measurement results and the target resource location, that is, the unknown is determined by a straight line connecting the two known first sensory measurement results.
  • the second method of perceptual measurement results is a widely used interpolation method;
  • Transform domain interpolation based on DFT/FFT or IDFT/IFFT: Transform the time-domain signal sampling sequence to be interpolated into the Doppler domain, insert a zero-value sequence in the middle of the Doppler domain sequence, and then convert the newly constructed sequence Transform back to the time domain to complete the interpolation, or transform the frequency domain signal sampling sequence to be interpolated to the delay domain, insert a zero-value sequence at the end of the delay domain sequence, and then transform the newly constructed sequence back to the frequency domain to complete the interpolation;
  • Lagrangian interpolation method or Newton interpolation method construct Lagrangian interpolation polynomial or Newton interpolation polynomial, and use polynomial operation to obtain the signal sampling value at the required interpolation time point or frequency point;
  • Segmented interpolation methods (such as 3-degree spline interpolation: construct interpolation polynomials for each segment of the digital signal, and use polynomial operations to obtain signal sampling values at the required interpolation time points or frequency points;
  • MMSE filtering/Wiener filtering interpolation calculate interpolation filter coefficients for interpolation based on relevant prior information, such as coherent bandwidth, coherent time, signal-to-noise ratio, etc.;
  • Shepard interpolation Inverse distance weighted data interpolation, the weighted value of the data is inversely proportional to the distance from the interpolation position.
  • the base station sends the sensing signal according to the sensing requirement and/or the configuration of the sensing signal.
  • the sensing requirement and/or the configuration of the sensing signal can come from the network function device or network element of the core network (such as network function device/aware network element).
  • the signal used for perception may be the same type of signal or a different type of signal, such as at least one of a sensing signal, a communication signal, and a synesthesia integrated signal, wherein the communication signal may also be the same reference signal or Different reference signals or data symbols, the reference signal is at least one of Table 1:
  • NR downlink reference signal NR uplink reference signal NR sidelink reference signal
  • PDSCH-DMRS PUSCH-DMRS
  • PSSCH-DMRS PDCCH-DMRS PUCCH-DMRS PSCCH-DMRS PBCH-DMRS PTRS PSSCH-PTRS PT-RS SRS PSBCH-DMRS CSI-RS the CSI-RS RIM-RS the the P-RS the the
  • the time-domain and frequency-domain resources of signals used for perception can be non-uniformly distributed, and the corresponding transmitting and receiving antennas can also be uniformly distributed or sparse.
  • the time domain as an example, two different types of signal formats used for perception As shown in Figure 4.
  • the base station sends the above-mentioned preprocessing indication information of the sensing measurement result to the UE, which is used to instruct the UE to determine whether interpolation preprocessing is required and the way of interpolation.
  • the base station sends the above sensing indication information to the UE, and the UE determines the preprocessing indication information according to the sensing indication information, that is, whether interpolation or extraction preprocessing and the way of interpolation or extraction are required.
  • steps 1), 2), and 3) are not sequential.
  • LS least squares
  • Y is the received
  • X is the frequency domain form of the local signal used for perception, where ./ indicates dot division, that is, element by element division) or minimum mean square error (MMSE) channel estimation, and can also be a frequency domain channel
  • MMSE minimum mean square error
  • the amplitude or the square of the amplitude and/or the phase of the response H, or the I-channel and/or Q-channel signal characteristics of the channel response in the frequency domain for example, the amplitude or the square of the I-channel and/or Q-channel signal amplitude.
  • the UE performs interpolation on the first sensing measurement result, as shown in Figure 6, that is, in the preprocessing instruction information of the sensing measurement result sent by the base station, it needs to interpolate according to the first sensing measurement result at time t1 to t7 to obtain t
  • the sensing measurement result at time * or, according to the sensing indication information sent by the base station, the UE determines that interpolation is required to obtain the sensing measurement result at time t* to ensure that the sensing measurement result is evenly sampled in the time domain.
  • the sensory measurement results at time t* are interpolated from the sensory measurement results at time t1 ⁇ t7, where the sensory measurement results at time t1 ⁇ t7 are the first sensory measurement results, and the sensory measurement results at time t1 ⁇ t7 and t* are the second sensory measurement results. 2. Perceptual measurement results.
  • the way of interpolation is to select at least one of the sensory measurement results corresponding to time t1 ⁇ t7 and multiply it by a certain weight coefficient and add it as the sensory measurement result at time t*, wherein the basis for the sensory measurement result selected for interpolation can be
  • the size of the time interval from time t* and/or the perceptual performance index corresponding to the perceptual measurement results calculated from time t1 to t7 for example, select the perceptual measurement results X2 and X3 corresponding to the adjacent time t2 and t3, and use linear interpolation
  • Obtain the sensory measurement result X* corresponding to the time t*, which satisfies the relation: (X*-X2)/(t*-t2) (X3-X*)/(t3-t*);
  • the UE extracts the sensing measurement results after interpolation or before interpolation. For example, in the preprocessing indication information of the sensing measurement results sent by the base station, it is necessary to extract the sensing measurements at time t1, t*, t4, and t6 As a result, or, according to the sensing indication information sent by the base station, the UE determines that the minimum sampling interval in the time domain satisfied by the sensing measurement results required for the calculation of the final sensing result is t*-t1, and only needs to report the Perceptual measurement results (or perceptual measurement results at time t2, t3, t5, t7).
  • the UE reports the interpolated and/or extracted second sensing measurement result to the base station.
  • the specific process includes:
  • the base station sends the sensing signal according to the sensing requirement and/or the configuration of the sensing signal.
  • the sensing requirement and/or the configuration of the sensing signal can come from the network function device or network element of the core network (such as network function device/aware network element);
  • the signal used for perception may be the same type of signal or a different type of signal, such as at least one of a sensing signal, a communication signal, and a synesthesia integrated signal, wherein the communication signal may also be the same reference signal or Different reference signals or data symbols, the reference signal may be one in Table 1.
  • the base station sends the preprocessing instruction information of the sensing measurement result to the UE, which is used to instruct the UE to determine whether to remove outliers and the method of removing outliers, wherein the method of removing outliers includes algorithm selection, and removing outliers
  • the window size of the outlier that is, the number of samples used for a calculation to eliminate outliers.
  • the base station sends the sensing indication information to the UE, and the UE determines the preprocessing information of the first sensing measurement result according to the sensing indication information, that is, whether outliers need to be removed and the manner of removing outliers.
  • steps 1), 2), and 3) are not sequential.
  • the standard deviation method is used as an example to remove outliers, and the steps can be:
  • the UE calculates and obtains the first perception measurement result according to the received signal. Assuming that the window size for removing outliers is 1000 sample points, the time-domain amplitude distribution of the first perception measurement result in the window is shown in FIG. 7 ;
  • the UE performs outlier elimination (replacing the outlier) on the first perception measurement result in the outlier removal window, and obtains the time-domain amplitude distribution of the second perception measurement result as shown in Figure 8:
  • the UE reports the second sensing measurement result to the base station.
  • the main flow is the same as the above-mentioned flow when the preprocessing method is interpolation or sample value extraction, wherein, in the preprocessing instruction information sent by the base station to the UE, the UE is instructed to determine whether filtering is required and related to Preprocessing parameter information associated with filtering, optionally, the UE determines whether filtering is required and a filtering manner according to the perception indication information.
  • the preprocessing parameter information associated with filtering can be:
  • Filter response type including: low pass, high pass, band pass, band stop;
  • IIR Infinite Impulse Response
  • FIR Finite Impulse Response
  • Frequency setting including: sampling frequency, passband frequency, center frequency, cutoff frequency, etc.;
  • a specific filter can also be specified, and specific filter coefficients can also be specified.
  • the specific filter specified in the preprocessing parameter information associated with filtering is a Savitzky-Golay filter, and the filter order is 41, and the UE filters the first perception measurement result according to the instruction to obtain the second perception measurement result.
  • the main flow is the same as the above-mentioned flow when the preprocessing method is interpolation or sample value extraction, wherein the preprocessing instruction information sent by the base station to the UE instructs the UE to determine whether noise suppression is required and Preprocessing parameter information associated with noise suppression.
  • the UE determines whether noise suppression is required and a noise suppression method according to the perception indication information.
  • the preprocessing parameter information associated with noise suppression can be:
  • a noise suppression algorithm the selection of the noise suppression algorithm is associated with the perception service
  • Target SNR threshold That is, the SNR of the second perception measurement result after noise suppression needs to be higher than the target SNR threshold, where SNR can be the ratio of signal to noise power, or the ratio of the target signal component used for perception to other components used for perception Ratio of signal components.
  • Parameter information associated with the noise suppression algorithm can be: the number of iteration decompositions, the filter used (such as Daubechies wavelet filter), wavelet basis function, expected Noise suppression results, etc.
  • the expected noise suppression result is the reported second sensory measurement result.
  • the original data can be decomposed into approximate coefficient vector and detail coefficient vector through L-step iterative decomposition using DWT: the approximate coefficient vector represents the The basic shape of the input signal, while the detail coefficient vector describes the high-frequency noise and detail information with small-scale features.
  • the expected noise suppression result (the second perceptual measurement result) may be the approximate coefficient vector and/or the detail coefficient vector, or the result of combining the two according to certain rules, such as weighted summation.
  • the main flow is the same as the above-mentioned flow when the preprocessing method is interpolation or sample value extraction, wherein the preprocessing instruction information sent by the base station to the UE instructs the UE to determine whether to combine and combine As for the associated preprocessing parameter information, optionally, the UE determines whether combining is required and the way of combining according to the perception indication information.
  • the preprocessing parameter information associated with merging can be:
  • Merging methods direct summation, weighted summation (for example, averaging), quotient (point division), conjugate multiplication, difference, correlation, convolution, etc. of multiple sampled values of the first sensory measurement result.
  • the number and requirement of the combined first perception measurement results (for example, the corresponding perception performance index exceeds a preset threshold).
  • the combining dimension includes at least one of the following: combining in frequency domain, combining in time domain, combining in antenna domain, combining in code domain, combining in delay domain, combining in Doppler domain, and combining in angle domain.
  • the indicated merging method is direct summation in the frequency domain, and the first device calculates the perception measurement results corresponding to multiple frequency domain locations, then the first device adds the perception measurement results of the multiple frequency domain locations as the second perception measurement result;
  • the combination method indicated is to find the quotient in the antenna field (point division, that is, element-by-element division), and the first device calculates antenna combination 1 (transmitting antenna 1 and receiving antenna 1) and antenna combination 2 (transmitting antenna 1 and receiving antenna 2 ) corresponding to the frequency domain channel response, the first device uses the quotient of the frequency domain channel response corresponding to the two sets of antenna combinations as the second sensing measurement result;
  • the indicated combination method is weighted summation in the frequency domain (combination 2) after the quotient in the antenna domain (combination 1), and the weighting factor is the value related to the perceptual performance index.
  • the quotient in the antenna domain (combination 1) After obtaining the first sensing measurement result corresponding to each subcarrier is at least one of the following: the amplitude and/or phase of the channel response quotient H_ratio in the frequency domain, or the amplitude of the I-way and/or Q-way of H_ratio, or H_ratio
  • the projection calculation result of the I, Q channel signals (the projection calculation can be I*cos(theta)+Q*sin(theta), where theta is a certain angle value, and different thetas correspond to different projections, and I represents the I channel data , Q stands for Q-channel data), or the time-domain autocorrelation results corresponding to the above-mentioned results; the perception performance index
  • Other perceptual signal components can be the amplitude and/or the square sum of the amplitudes corresponding to all sample points in the FFT result, or the mean value or square mean value of the amplitudes corresponding to all sample points, or the FFT result except the target perceptual component.
  • the amplitude and/or the square sum of the amplitudes corresponding to all the sample points other than the sample point of the FFT result can also be the mean value or Square mean value; assuming that there are two subcarriers SC1 and SC2, the corresponding first sensing measurement results are respectively the first sensing measurement result 1 and the first sensing measurement result 2, and the values of the corresponding sensing performance indicators are BNR1 and BNR2 respectively, and the second A sensory measurement result 1*BNR1+first sensory measurement result 2*BNR2 is used as the second sensory measurement result, or the first sensory measurement result 1*BNR1/(BNR1+BNR2)+first sensory measurement result 2*BNR2/(BNR1 +BNR2) as the second perceptual measurement.
  • the first perception measurement result corresponding to the perception measurement quantity is obtained according to the received first signal
  • the first perception measurement result is preprocessed, so as to obtain the second perception measurement result that meets the corresponding requirements .
  • interpolation processing or sample value extraction processing is performed on the first perception measurement results on multiple resources, so that the processed second perception measurement results are obtained by uniformly sampling the first perception measurement results on the corresponding resources, so that the second The perception measurement result can meet the reporting requirement of uniform sampling.
  • the first perception measurement result can be combined or compressed so that the second perception measurement result can meet the reporting requirement of reducing reporting overhead.
  • the embodiment of the present application also provides a sensing method, including:
  • Step 1001 The second device acquires a second perception measurement result sent by the first device, the second perception measurement result is a perception measurement result obtained after preprocessing the first perception measurement result, and the first perception measurement result is A perception measurement result corresponding to the perception measurement quantity obtained by the first device according to the received first signal.
  • the second perception measurement result acquired by the second device is the perception measurement result obtained after preprocessing the first perception measurement result, such as performing interpolation processing or sampling the first perception measurement result on multiple resources.
  • Value extraction processing so that the processed second perception measurement result is obtained by uniformly sampling the first perception measurement result on the corresponding resource, so that the second perception measurement result can meet the reporting requirements of uniform sampling, and for example, for the first
  • the perceptual measurement results are combined or compressed so that the second perceptual measurement result can meet the reporting requirement of reducing the reporting overhead. In this way, the second perceptual measurement result meeting the corresponding requirements can be obtained by preprocessing the first perceptual measurement result.
  • the method before the second device acquires the second perception measurement result sent by the first device, the method further includes:
  • the second device indicates preprocessing information of the first perception measurement.
  • the second device indicates preprocessing information of the first perception measurement result, including:
  • the second device sends at least one of preprocessing indication information and perception indication information
  • the preprocessing indication information is used to indicate the preprocessing information
  • the perception indication information is associated with the preprocessing information
  • the preprocessing information includes at least one of the following:
  • the first parameter includes at least one of ratio information of valid samples and a perceptual performance index.
  • the pretreatment method includes at least one of the following:
  • the perception indication information includes at least one of the following:
  • the method of the embodiment of the present application also includes:
  • the second device acquires feedback information of the pre-processing information sent by the first device; the feedback information includes first feedback information or second feedback information, and the first feedback information is used to instruct the second device to re-instruct the pre-processing information. Processing information, where the second feedback information is used to instruct the second device to reconfigure the first signal according to the feedback information, to send a reconfigured first signal or to re-indicate preprocessing information through preprocessing indication information.
  • the second device indicates preprocessing information of the first perception measurement result, including:
  • the second device acquires the preprocessing capability information of the first device
  • the second device indicates preprocessing information of the first perception measurement result according to the preprocessing capability information.
  • the sensing method on the second device side is a method corresponding to the method on the first device side, and the specific interaction process between the second device and the first device has been described in detail in the above method embodiment on the first device side , which will not be repeated here.
  • the sensing method provided in the embodiment of the present application may be executed by a sensing device.
  • the sensing device provided in the embodiment of the present application is described by taking the sensing device executing the sensing method as an example.
  • the embodiment of the present application provides a sensing device 1100, including:
  • a processing module 1101 configured to preprocess the first perception measurement result to obtain a second perception measurement result, where the first perception measurement result is obtained by the first device according to the received first signal and corresponds to the perception measurement quantity Perceptual measurement results of
  • a reporting module 1102 configured to report the second perception measurement result to the second device.
  • the processing module includes:
  • a first obtaining submodule configured to obtain preprocessing information of the first perception measurement result indicated by the second device
  • the first processing submodule is configured to preprocess the first perception measurement result according to the preprocessing information.
  • the first acquiring submodule is configured to acquire the preprocessing information according to the target indication information sent by the second device;
  • the target indication information includes at least one of preprocessing indication information and perception indication information
  • the preprocessing indication information is used to indicate the preprocessing information
  • the perception indication information is associated with the preprocessing information .
  • the preprocessing information includes at least one of the following:
  • the first parameter includes at least one of ratio information of valid samples and a perceptual performance index.
  • the pretreatment method includes at least one of the following:
  • the preprocessing parameter information includes at least one of the following:
  • Threshold information of the target signal-to-noise ratio SNR is the target signal-to-noise ratio SNR
  • the perception indication information includes at least one of the following:
  • the sensory measurement includes at least one of the following:
  • Target parameter information determined based on original channel information.
  • the device of the embodiment of the present application further includes:
  • a feedback module configured to send feedback information of the pre-processing information to the second device before the processing module pre-processes the first perception measurement result according to the pre-processing information, where the feedback information includes the first feedback Information or second feedback information, the first feedback information is used to instruct the second device to re-indicate pre-processing information, and the second feedback information is used to instruct the second device to reconfigure the first signal; then
  • the processing module is configured to: if the feedback information includes the first feedback information, the first device, according to the preprocessing information re-indicated by the second device through the preprocessing instruction information, Perceptual measurement results are preprocessed;
  • the first device obtains the first perception measurement result according to the first signal reconfigured by the second device; and according to the preprocessing information Preprocessing the first perception measurement result.
  • the feedback module is configured to send the feedback information to the second device when a target condition is met;
  • the target condition includes at least one of the following:
  • the first device does not support the preprocessing mode indicated by the preprocessing information
  • the first parameter corresponding to the second perception measurement result does not meet the requirement information indicated by the second device
  • the first parameter corresponding to the first perception measurement result does not meet the requirement information indicated by the second device
  • the first parameter includes at least one of ratio information of valid samples and a perceptual performance index.
  • the device of the embodiment of the present application further includes:
  • a sending module configured to send preprocessing capability information to the second device before the first obtaining submodule obtains the preprocessing information of the first perception measurement result indicated by the second device, where the preprocessing capability information is used to indicate the The preprocessing capability supported by the first device, the preprocessing capability information is used to determine the preprocessing information.
  • the first signal includes at least one of the following signal types:
  • the first perception measurement result corresponding to the perception measurement quantity is obtained according to the received first signal
  • the first perception measurement result is preprocessed, so as to obtain the second perception measurement result that meets the corresponding requirements .
  • interpolation processing or sample value extraction processing is performed on the first perception measurement results on multiple resources, so that the processed second perception measurement results are obtained by uniformly sampling the first perception measurement results on the corresponding resources, so that the second The perception measurement result can meet the reporting requirement of uniform sampling.
  • the first perception measurement result can be combined or compressed so that the second perception measurement result can meet the reporting requirement of reducing reporting overhead.
  • the sensing device in the embodiment of the present application may be an electronic device, such as an electronic device with an operating system, or a component in the electronic device, such as an integrated circuit or a chip.
  • the electronic device may be a terminal, or other devices other than the terminal.
  • the terminal may include, but not limited to, the types of terminal 11 listed above, and other devices may be servers, Network Attached Storage (NAS), etc., which are not specifically limited in this embodiment of the present application.
  • NAS Network Attached Storage
  • the sensing device provided by the embodiment of the present application can realize each process realized by the method embodiments in FIG. 2 to FIG. 10 , and achieve the same technical effect. To avoid repetition, details are not repeated here.
  • the embodiment of the present application also provides a communication device 1200, including a processor 1201 and a memory 1202, and the memory 1202 stores programs or instructions that can run on the processor 1201, for example
  • the communication device 1200 is the first device, when the program or instruction is executed by the processor 1201, each step of the above method embodiment on the first device side can be implemented, and the same technical effect can be achieved.
  • the communication device 1200 is the second device, when the program or instruction is executed by the processor 1201, the steps of the method embodiment on the second device side can be implemented, and the same technical effect can be achieved. To avoid repetition, details are not repeated here. .
  • An embodiment of the present application further provides a first device, including a processor and a communication interface, the processor is configured to preprocess the first perception measurement result to obtain a second perception measurement result, the first perception measurement result is the first A device obtains a perception measurement result corresponding to the perception measurement quantity according to the received first signal, and the communication interface is configured to report the second perception measurement result to the second device.
  • a first device including a processor and a communication interface
  • the processor is configured to preprocess the first perception measurement result to obtain a second perception measurement result
  • the first perception measurement result is the first
  • the communication interface is configured to report the second perception measurement result to the second device.
  • FIG. 13 is a schematic diagram of a hardware structure of a first device (specifically, a terminal) implementing an embodiment of the present application.
  • the terminal 1300 includes, but is not limited to: a radio frequency unit 1301, a network module 1302, an audio output unit 1303, an input unit 1304, a sensor 1305, a display unit 1306, a user input unit 1307, an interface unit 1308, a memory 1309, and a processor 1310. At least some parts.
  • the terminal 1300 can also include a power supply (such as a battery) for supplying power to various components, and the power supply can be logically connected to the processor 1310 through the power management system, so as to manage charging, discharging, and power consumption through the power management system. Management and other functions.
  • a power supply such as a battery
  • the terminal structure shown in FIG. 13 does not constitute a limitation on the terminal.
  • the terminal may include more or fewer components than shown in the figure, or combine some components, or arrange different components, which will not be repeated here.
  • the input unit 1304 may include a graphics processing unit (Graphics Processing Unit, GPU) 13041 and a microphone 13042, and the graphics processor 13041 can be used by the image capture device (such as the image data of the still picture or video obtained by the camera) for processing.
  • the display unit 1306 may include a display panel 13061, and the display panel 13061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like.
  • the user input unit 1307 includes at least one of a touch panel 13071 and other input devices 13072 . Touch panel 13071, also called touch screen.
  • the touch panel 13071 may include two parts, a touch detection device and a touch controller.
  • Other input devices 13072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, and joysticks, which will not be repeated here.
  • the radio frequency unit 1301 may transmit the downlink data from the network side device to the processor 1310 for processing after receiving it; in addition, the radio frequency unit 1301 may send uplink data to the network side device.
  • the radio frequency unit 1301 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.
  • the memory 1309 can be used to store software programs or instructions as well as various data.
  • the memory 1309 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required by at least one function (such as a sound playing function, image playback function, etc.), etc.
  • memory 1309 can include volatile memory or nonvolatile memory, or, memory 1309 can include both volatile and nonvolatile memory.
  • the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically programmable Erase Programmable Read-Only Memory (Electrically EPROM, EEPROM) or Flash.
  • ROM Read-Only Memory
  • PROM programmable read-only memory
  • Erasable PROM Erasable PROM
  • EPROM electrically programmable Erase Programmable Read-Only Memory
  • Flash Flash.
  • Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous connection dynamic random access memory (Synch link DRAM , SLDRAM) and Direct Memory Bus Random Access Memory (Direct Rambus RAM, DRRAM).
  • RAM Random Access Memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • DRAM synchronous dynamic random access memory
  • SDRAM double data rate synchronous dynamic random access memory
  • Double Data Rate SDRAM Double Data Rate SDRAM
  • DDRSDRAM double data rate synchronous dynamic random access memory
  • Enhanced SDRAM, ESDRAM enhanced synchronous dynamic random access memory
  • Synch link DRAM , SLDRAM
  • Direct Memory Bus Random Access Memory Direct Rambus
  • the processor 1310 may include one or more processing units; optionally, the processor 1310 integrates an application processor and a modem processor, wherein the application processor mainly handles operations related to the operating system, user interface, and application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the foregoing modem processor may not be integrated into the processor 1310 .
  • the processor 1310 is configured to preprocess the first perception measurement result to obtain a second perception measurement result, and the first perception measurement result is the perception measurement obtained by the first device according to the received first signal Perceptual measurement results corresponding to the quantity;
  • the radio frequency unit 1301 is configured to report the second perception measurement result to the second device.
  • the first perception measurement result corresponding to the perception measurement quantity is obtained according to the received first signal
  • the first perception measurement result is preprocessed, so as to obtain the second perception measurement result that meets the corresponding requirements .
  • interpolation processing or sample value extraction processing is performed on the first perception measurement results on multiple resources, so that the processed second perception measurement results are obtained by uniformly sampling the first perception measurement results on the corresponding resources, so that the second The perception measurement result can meet the reporting requirement of uniform sampling.
  • the first perception measurement result can be combined or compressed so that the second perception measurement result can meet the reporting requirement of reducing reporting overhead.
  • the processor 1310 is configured for the first device to obtain preprocessing information of the first perception measurement result indicated by the second device; according to the preprocessing information, the first perception measurement result Do preprocessing.
  • the processor 1310 is configured for the first device to acquire the preprocessing information according to the target indication information sent by the second device;
  • the target indication information includes at least one of preprocessing indication information and perception indication information
  • the preprocessing indication information is used to indicate the preprocessing information
  • the perception indication information is associated with the preprocessing information .
  • the preprocessing information includes at least one of the following:
  • the first parameter includes at least one of ratio information of valid samples and a perceptual performance index.
  • the pretreatment method includes at least one of the following:
  • the preprocessing parameter information includes at least one of the following:
  • Threshold information of the target signal-to-noise ratio SNR is the target signal-to-noise ratio SNR
  • the perception indication information includes at least one of the following:
  • the sensory measurement includes at least one of the following:
  • Target parameter information determined based on original channel information.
  • the radio frequency unit 1301 is configured to send feedback information of the preprocessing information to the second device, where the feedback information includes first feedback information or second feedback information, and the first feedback information is used to indicate The second device re-instructs preprocessing information, and the second feedback information is used to instruct the second device to reconfigure the first signal;
  • the processor 1310 is configured to, if the feedback information includes the first feedback information, perform the first perception measurement result according to the preprocessing information re-indicated by the second device through the preprocessing instruction information carry out preprocessing;
  • the feedback information includes the second feedback information, obtain the first perception measurement result according to the first signal reconfigured by the second device;
  • the perceptual measurements are preprocessed.
  • the radio frequency unit 1301 is configured to, when a target condition is met, the first device send the feedback information to the second device;
  • the target condition includes at least one of the following:
  • the first device does not support the preprocessing mode indicated by the preprocessing information
  • the first parameter corresponding to the second perception measurement result does not meet the requirement information indicated by the second device
  • the first parameter corresponding to the first perception measurement result does not meet the requirement information indicated by the second device
  • the first parameter includes at least one of ratio information of valid samples and a perceptual performance index.
  • the radio frequency unit 1301 is configured to send preprocessing capability information to the second device, where the preprocessing capability information is used to indicate the preprocessing capability supported by the first device, and the preprocessing capability information is used to The preprocessing information is determined.
  • the first signal includes at least one of the following signal types:
  • the first perception measurement result corresponding to the perception measurement quantity is obtained according to the received first signal
  • the first perception measurement result is preprocessed, so as to obtain the second perception measurement result that meets the corresponding requirements .
  • interpolation processing or sample value extraction processing is performed on the first perception measurement results on multiple resources, so that the processed second perception measurement results are obtained by uniformly sampling the first perception measurement results on the corresponding resources, so that the second The perception measurement result can meet the reporting requirement of uniform sampling.
  • the first perception measurement result can be combined or compressed so that the second perception measurement result can meet the reporting requirement of reducing reporting overhead.
  • the embodiment of the present application also provides a sensing device 1400, including:
  • the first acquiring module 1401 is configured to acquire a second perception measurement result sent by the first device, the second perception measurement result is a perception measurement result obtained after preprocessing the first perception measurement result, and the first perception measurement result The result is a perception measurement result corresponding to the perception measurement quantity obtained by the first device according to the received first signal.
  • the device of the embodiment of the present application further includes:
  • the indication module is configured to indicate the preprocessing information of the first perception measurement result before the first acquisition module acquires the second perception measurement result sent by the first device.
  • the indication module is configured to send at least one of preprocessing indication information and perception indication information;
  • the preprocessing indication information is used to indicate the preprocessing information
  • the perception indication information is associated with the preprocessing information
  • the preprocessing information includes at least one of the following:
  • the first parameter includes at least one of ratio information of valid samples and a perceptual performance index.
  • the pretreatment method includes at least one of the following:
  • the perception indication information includes at least one of the following:
  • the device of the embodiment of the present application further includes:
  • the second acquiring module is configured to acquire feedback information of the preprocessing information sent by the first device; the feedback information includes first feedback information or second feedback information, and the first feedback information is used to instruct the second device to re- Indicating pre-processing information, the second feedback information is used to instruct the second device to reconfigure the first signal according to the feedback information, send a reconfigured first signal or re-indicate pre-processing information through pre-processing indication information .
  • the indication module includes:
  • the second acquiring submodule is used to acquire the preprocessing capability information of the first device
  • the indicating submodule is configured to indicate preprocessing information of the first perception measurement result according to the preprocessing capability information.
  • the obtained second perception measurement result is the perception measurement result obtained after preprocessing the first perception measurement result, such as performing interpolation processing or sample value extraction processing on the first perception measurement results on multiple resources , so that the processed second perception measurement result is obtained by uniformly sampling the first perception measurement result on the corresponding resource, so that the second perception measurement result can meet the reporting requirements of uniform sampling, and for example, the first perception measurement result Combining or compressing is performed so that the second sensing measurement result can meet the reporting requirement of reducing the reporting overhead. In this way, the second sensing measurement result meeting the corresponding requirement can be obtained by preprocessing the first sensing measurement result.
  • the embodiment of the present application also provides a second device, including a processor and a communication interface, and the communication interface is used to obtain the second perception measurement result sent by the first device, and the second perception measurement result is the first perception measurement result.
  • the perception measurement result obtained after preprocessing, the first perception measurement result is a perception measurement result corresponding to the perception measurement quantity obtained by the first device according to the received first signal.
  • the second device embodiment corresponds to the above-mentioned method embodiment on the second device side, and each implementation process and implementation mode of the above-mentioned method embodiment can be applied to this second device embodiment, and can achieve the same technical effect.
  • the embodiment of the present application also provides a network side device (which may specifically be the first device or the second device).
  • the network side device 1500 includes: an antenna 151 , a radio frequency device 152 , a baseband device 153 , a processor 154 and a memory 155 .
  • the antenna 151 is connected to the radio frequency device 152 .
  • the radio frequency device 152 receives information through the antenna 151, and sends the received information to the baseband device 153 for processing.
  • the baseband device 153 processes the information to be sent and sends it to the radio frequency device 152
  • the radio frequency device 152 processes the received information and sends it out through the antenna 151 .
  • the method performed by the network side device in the above embodiments may be implemented in the baseband device 153, where the baseband device 153 includes a baseband processor.
  • the baseband device 153 may include at least one baseband board, for example, a plurality of chips are arranged on the baseband board, as shown in FIG.
  • the program executes the network device operations shown in the above method embodiments.
  • the network side device may also include a network interface 156, such as a common public radio interface (common public radio interface, CPRI).
  • a network interface 156 such as a common public radio interface (common public radio interface, CPRI).
  • the network-side device 1500 in this embodiment of the present invention further includes: instructions or programs stored in the memory 155 and operable on the processor 154, and the processor 154 calls the instructions or programs in the memory 155 to execute FIG. 11 or FIG. 14
  • the methods executed by each module shown in the figure achieve the same technical effect, so in order to avoid repetition, they are not repeated here.
  • the embodiment of the present application further provides a network side device (which may be specifically a second device).
  • the network side device 1600 includes: a processor 1601 , a network interface 1602 and a memory 1603 .
  • the network interface 1602 is, for example, CPRI.
  • the network side device 1600 in this embodiment of the present invention also includes: instructions or programs stored in the memory 1603 and executable on the processor 1601, and the processor 1601 calls the instructions or programs in the memory 1603 to execute the various programs shown in FIG.
  • the method of module execution achieves the same technical effect, so in order to avoid repetition, it is not repeated here.
  • the embodiment of the present application also provides a readable storage medium, the readable storage medium stores a program or an instruction, and when the program or instruction is executed by a processor, each process of the above-mentioned perception method embodiment is realized, and the same Technical effects, in order to avoid repetition, will not be repeated here.
  • the processor is the processor in the terminal described in the foregoing embodiments.
  • the readable storage medium includes a computer-readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk, and the like.
  • the embodiment of the present application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various aspects of the above sensing method embodiments process, and can achieve the same technical effect, in order to avoid repetition, it will not be repeated here.
  • the chip mentioned in the embodiment of the present application may also be called a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip.
  • the embodiment of the present application further provides a computer program product, the computer program product is stored in a storage medium, and the computer program product is executed by at least one processor to implement the various processes in the above embodiments of the sensing method, and can achieve The same technical effects are not repeated here to avoid repetition.
  • An embodiment of the present application also provides a sensing system, including: a first device and a second device, the first device can be used to perform the steps of the sensing method on the first device side as described above, and the second device can To execute the steps of the sensing method on the second device side as described above.
  • the term “comprising”, “comprising” or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase “comprising a " does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.
  • the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
  • the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation.
  • the technical solution of the present application can be embodied in the form of computer software products, which are stored in a storage medium (such as ROM/RAM, magnetic disk, etc.) , CD-ROM), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of the present application.

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Abstract

本申请公开了一种感知方法、装置及通信设备，属于通信技术领域，本申请实施例的感知方法包括：第一设备对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是所述第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果；所述第一设备将所述第二感知测量结果上报给第二设备。

Description

感知方法、装置及通信设备
相关申请的交叉引用
本申请主张在2021年12月16日在中国提交的中国专利申请No.202111547553.5的优先权，其全部内容通过引用包含于此。
技术领域
本申请属于通信技术领域，具体涉及一种感知方法、装置及通信设备。
背景技术
通信系统接收数据处理流程相对固定，而对于通信系统引入感知功能的场景或者是通感一体化场景，由于感知业务种类繁多，不同感知业务接收数据处理流程可能存在较大差别，对感知测量结果的要求也不相同，感知设备通过感知测量直接得到的感知测量结果难以满足相应的要求。
发明内容
本申请实施例提供一种感知方法、装置及通信设备，能够解决如何得到满足要求的感知测量结果的问题。
第一方面，提供了一种感知方法，包括：
第一设备对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是所述第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果；
所述第一设备将所述第二感知测量结果上报给第二设备。
第二方面，提供了一种感知方法，包括：
第二设备获取第一设备发送的第二感知测量结果，所述第二感知测量结果是对第一感知测量结果进行预处理之后得到的感知测量结果，所述第一感知测量结果是第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果。
第三方面，提供了一种感知装置，包括：
处理模块，用于对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是所述第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果；
上报模块，用于将所述第二感知测量结果上报给第二设备。
第四方面，提供了一种感知装置，包括：
第一获取模块，用于获取第一设备发送的第二感知测量结果，所述第二感知测量结果 是对第一感知测量结果进行预处理之后得到的感知测量结果，所述第一感知测量结果是第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果。
第五方面，提供了一种通信设备，该通信设备包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如第一方面或第二方面所述的感知方法的步骤。
第六方面，提供了一种第一设备，包括处理器及通信接口，其中，所述处理器用于对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是所述第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果，所述通信接口用于将所述第二感知测量结果上报给第二设备。
第七方面，提供了一种第二设备，包括处理器及通信接口，其中，所述通信接口用于获取第一设备发送的第二感知测量结果，所述第二感知测量结果是对第一感知测量结果进行预处理之后得到的感知测量结果，所述第一感知测量结果是第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果。
第八方面，提供了一种感知系统，包括：第一设备及第二设备，所述第一设备可用于执行如第一方面所述的感知方法的步骤，所述第二设备可用于执行如第二方面所述的感知方法的步骤。
第九方面，提供了一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如第一方面所述的方法的步骤，或者实现如第二方面所述的方法的步骤。
第十方面，提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现如第一方面所述的方法，或实现如第二方面所述的方法。
第十一方面，提供了一种计算机程序产品，所述计算机程序产品被存储在存储介质中，所述计算机程序产品被至少一个处理器执行以实现如第一方面所述的感知方法的步骤，或实现如第二方面所述的方法的步骤。
在本申请实施例中，在根据接收到的第一信号得到与感知测量量对应的第一感知测量结果后，对该第一感知测量结果进行预处理，从而得到满足相应要求的第二感知测量结果。例如对多个资源上的第一感知测量结果进行插值处理或样值抽取处理，使得处理后的第二感知测量结果是在相应资源上对第一感知测量结果进行均匀采样得到的，使得第二感知测量结果能够满足均匀采样的上报需求。又例如，对第一感知测量结果进行合并或压缩处理，使得第二感知测量结果能够满足减少上报开销的上报需求。
附图说明
图1表示本申请实施例可应用的一种通信系统的结构图；
图2表示本申请实施例的感知方法的流程示意图之一；
图3表示本申请实施例的感知网络接口架构图；
图4表示本申请实施例中感知信号的位置示意图；
图5表示本申请实施例中第一感知测量结果的时域分布示意图；
图6表示本申请实施例中第二感知测量结果的时域分布示意图；
图7表示本申请实施例中第一感知测量结果的时域幅度分布示意图；
图8表示本申请实施例中第二感知测量结果的时域幅度分布示意图；
图9表示本申请实施例中第一感知测量结果的FFT运算结果示意图；
图10表示本申请实施例的感知方法的流程示意图之二；
图11表示本申请实施例的感知装置的模块示意图之一；
图12表示本申请实施例的通信设备的结构框图；
图13表示本申请实施例的终端的结构框图；
图14表示本申请实施例的感知装置的模块示意图之二；
图15表示本申请实施例的网络侧设备的结构框图之一；
图16表示本申请实施例的网络侧设备的结构框图之二。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书中的术语“第一”、“第二”等是用于区别类似的对象，而不用于描述特定的顺序或先后次序。应该理解这样使用的术语在适当情况下可以互换，以便本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施，且“第一”、“第二”所区别的对象通常为一类，并不限定对象的个数，例如第一对象可以是一个，也可以是多个。此外，说明书以及权利要求中“和/或”表示所连接对象的至少其中之一，字符“/”一般表示前后关联对象是一种“或”的关系。
值得指出的是，本申请实施例所描述的技术不限于长期演进型(Long Term Evolution，LTE)/LTE的演进(LTE-Advanced，LTE-A)系统，还可用于其他无线通信系统，诸如码分多址(Code Division Multiple Access，CDMA)、时分多址(Time Division Multiple Access，TDMA)、频分多址(Frequency Division Multiple Access，FDMA)、正交频分多址(Orthogonal Frequency Division Multiple Access，OFDMA)、单载波频分多址(Single-carrier Frequency Division Multiple Access，SC-FDMA)和其他系统。本申请实施例中的术语“系统”和“网络”常被可互换地使用，所描述的技术既可用于以上提及的系统和无线电技术，也可用于其他系统和无线电技术。以下描述出于示例目的描述了新空口(New Radio，NR)系统，并且在以下大部分描述中使用NR术语，但是这些技术也可应用于NR系统应用以外的应用，如第6代(6 th Generation，6G)通信系统。
图1示出本申请实施例可应用的一种无线通信系统的框图。无线通信系统包括终端11和网络侧设备12。其中，终端11可以是手机、平板电脑(Tablet Personal Computer)、膝上型电脑(Laptop Computer)或称为笔记本电脑、个人数字助理(Personal Digital Assistant，PDA)、掌上电脑、上网本、超级移动个人计算机(ultra-mobile personal computer，UMPC)、移动上网装置(Mobile Internet Device，MID)、增强现实(augmented reality，AR)/虚拟现实(virtual reality，VR)设备、机器人、可穿戴式设备(Wearable Device)、车载设备(Vehicle User Equipment，VUE)、行人终端(Pedestrian User Equipment，PUE)、智能家居(具有无线通信功能的家居设备，如冰箱、电视、洗衣机或者家具等)、游戏机、个人计算机(personal computer，PC)、柜员机或者自助机等终端侧设备，可穿戴式设备包括：智能手表、智能手环、智能耳机、智能眼镜、智能首饰(智能手镯、智能手链、智能戒指、智能项链、智能脚镯、智能脚链等)、智能腕带、智能服装等。需要说明的是，在本申请实施例并不限定终端11的具体类型。网络侧设备12可以包括接入网设备或核心网设备，其中，接入网设备也可以称为无线接入网设备、无线接入网(Radio Access Network,RAN)、无线接入网功能或无线接入网单元。接入网设备可以包括基站、无线局域网(Wireless Local Area Network，WLAN)接入点或无线保真(Wireless Fidelity，WiFi)节点等，基站可被称为节点B、演进节点B(eNB)、接入点、基收发机站(Base Transceiver Station，BTS)、无线电基站、无线电收发机、基本服务集(Basic Service Set，BSS)、扩展服务集(Extended Service Set，ESS)、家用B节点、家用演进型B节点、发送接收点(Transmitting Receiving Point，TRP)或所述领域中其他某个合适的术语，只要达到相同的技术效果，所述基站不限于特定技术词汇，需要说明的是，在本申请实施例中仅以NR系统中的基站为例进行介绍，并不限定基站的具体类型。核心网设备可以包含但不限于如下至少一项：核心网节点、核心网功能、移动管理实体(Mobility Management Entity，MME)、接入移动管理功能(Access and Mobility Management Function，AMF)、会话管理功能(Session Management Function，SMF)、用户平面功能(User Plane Function，UPF)、策略控制功能(Policy Control Function，PCF)、策略与计费规则功能单元(Policy and Charging Rules Function，PCRF)、边缘应用服务发现功能(Edge Application Server Discovery Function，EASDF)、统一数据管理(Unified Data Management，UDM)，统一数据仓储(Unified Data Repository，UDR)、归属用户服务器(Home Subscriber Server，HSS)、集中式网络配置(Centralized network configuration，CNC)、网络存储功能(Network Repository Function，NRF)，网络开放功能(Network Exposure Function，NEF)、本地NEF(Local NEF，或L-NEF)、绑定支持功能(Binding Support Function，BSF)、应用功能(Application Function，AF)等。需要说明的是，在本申请实施例中仅以NR系统中的核心网设备为例进行介绍，并不限定核心网设备的具体类型。
为使本领域技术人员能够更好地理解本申请实施例，先进行如下说明。
通信感知一体化即在同一系统中通过频谱共享与硬件共享，实现通信、感知功能一体化设计，系统在进行信息传递的同时，能够感知方位、距离、速度等信息，对目标物体或 事件进行检测、跟踪、识别，通信系统与感知系统相辅相成，实现整体性能上的提升并带来更好的服务体验。
未来移动通信系统例如超5G(Beyond 5G，B5G)系统或6G系统除了具备通信能力外，还将具备感知能力。感知能力，即具备感知能力的一个或多个设备，能够通过无线信号的发送和接收，来感知目标物体的方位、距离、速度等信息，或者对目标物体、事件或环境等进行检测、跟踪、识别、成像等。未来随着毫米波、太赫兹等具备高频段大带宽能力的小基站在6G网络的部署，感知的分辨率相比厘米波将明显提升，从而使得6G网络能够提供更精细的感知服务。
通信与雷达的一体化属于典型的通信感知融合应用，在过去，雷达系统与通信系统由于研究对象与关注重点不同而被严格地区分，大部分场景下两系统被分发研究。事实上，雷达与通信系统同样作为信息发送、获取、处理和交换的典型方式，不论工作原理还是系统架构以及频段上存在着不少相似之处。通信与雷达一体化的设计具有较大的可行性，主要体现在以下几个方面：首先，通信系统与感知系统均基于电磁波理论，利用电磁波的发射和接收来完成信息的获取和传递；其次，通信系统与感知系统均具备天线、发送端、接收端、信号处理器等结构，在硬件资源上有很大重叠；随着技术的发展，两者在工作频段上也有越来越多的重合；另外，在信号调制与接收检测、波形设计等关键技术上存在相似性。通信与雷达系统融合能够带来许多优势，例如节约成本、减小尺寸、降低功耗、提升频谱效率、减小互干扰等，从而提升系统整体性能。
目前，对于雷达和通信系统的一体化设计已经有不少相关研究，典型的联合设计包括频谱共存，即两系统独立工作，可以允许信息交换以降低互相之间的干扰；收端共享，此时两系统发端发送各自的信号波形，两系统的波形需要具备正交性，从而不影响各自的接收检测；发端共享，即发送端发射雷达与通信的联合波形；以及收发端共享，即两系统收发两侧进行资源共享，同样需要使用联合波形或者存在正交关系的波形。
在进行感知时，可以是基于单站模式的感知，即收发共址，发送端发射用于感知的信号，然后自己接收回波信号并进行分析，提取感知参数，例如，基站作为用于感知的信号的发送端与接收端，终端或其他物体作为感知目标；也可以是基于双站/多站模式的感知，即收发不共址，发送端发射用于感知的信号，其他接收端进行接收并分析，提取感知参数，例如，基站1作为用于感知的信号发送端，终端或者基站2作为用于感知的信号接收端。同样地，单站或多站模式感知的发射端也可以是终端。
通信系统需要将承载信息的调制符号与用于信道估计的导频符号联合发送，重点关注译码性能，其信道估计算法仅需估计具有有限未知参数的复合信道，通常以提高吞吐量和传输可靠性为优化目标，关注的性能指标一般是频谱效率、信道容量、信噪比(Signal to Noise Ratio，SNR)、信号与干扰加噪声比(Signal-To-Noise And Interference Ratio，SINR)、误码率(Bit Error Rate，BER)、数据块差错率(Block Error Rate，BLER)以及误符号率(Symbol Error Rate，SER)等。而感知系统信号发送过程中无需考虑信息承载问题，通 常使用优化或未经调制的发射信号，重点关注感知目标对发射信号带来的改变，即响应特性，通常以提高参数估计精度为优化目标，性能衡量指标可能是模糊函数、克拉美罗下界、均方根误差、互信息、率失真函数、雷达估计速率、韦尔奇下界以及一些与感知场景和需求相关联的指标。
目前，已经有不少研究利用通信系统实现感知功能，例如基于Wifi信号或LTE或NR信号进行无线感知相关的测量并得到感知结果，感知业务种类繁多，为保证通信与感知功能融合后的系统性能，通信信号、感知信号的资源分配与测量上报机制等需要根据实际业务需求进行综合考虑。
下面结合附图，通过一些实施例及其应用场景对本申请实施例提供的感知方法进行详细地说明。
如图2所示，本申请实施例提供了一种感知方法，包括：
步骤201：第一设备对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是所述第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果。
本步骤中，上述预处理包括以下至少一项：
插值处理；
样值抽取处理；
杂波抑制处理；
抑噪处理；
剔除离群值处理；
滤波处理；
合并处理；
压缩处理。
本步骤中，所述第一信号包括以下至少一种信号类型的信号：
感知信号；
通信信号；
通感一体化信号。
本申请实施例中的感知信号可具体为用于获取目标物体的方位、距离、速度等信息的信号，或者对目标物体、事件或环境等进行检测、跟踪、识别、成像的信号。
所述感知信号包括以下至少一项：
雷达常用信号例如调频连续波(Continuous Wave，CW)信号、调频连续波(Frequency Modulated Continuous Wave，FMCW)信号、简单脉冲信号、啁啾(Chirp)脉冲信号等；
上述通信信号可以是通信参考信号和数据信号中的至少一项，至少包括：
物理下行控制信道(Physical downlink control channel，PDCCH)/寻呼PDCCH的解调参考信号(Demodulation Reference Signal，DMRS)，物理下行共享信道(Physical downlink  shared channel，PDSCH)/寻呼PDSCH的DMRS，物理上行共享信道(Physical Uplink Shared Channel，PUSCH)的DMRS，物理上行控制信道(Physical Uplink Control Channel，PUCCH)的DMRS，物理广播信道(Physical Broadcast Channel，PBCH)的DMRS，CSI参考信号(CSI Reference Signal，CSI-RS)，探测参考信号(Sounding Reference Signal，SRS)相位跟踪参考信号(Phase-tracking reference signal，PTRS)，定位参考信号(Positioning Reference Signal，PRS)，跟踪参考信号(Tracking Reference Signal，TRS)，主同步信号(Primary Synchronisation Signal，PSS)，辅同步信号(Secondary Synchronisation Signal，SSS)等；数据信道PDSCH、PUSCH、PBCH中的数据符号等。
上述通感一体化信号为既可用于通信又可用于感知的信号。
可选地，所述感知测量量包括以下至少一项：
原始信道信息；
信号强度信息；
谱信息；
多径信息；
角度信息；
不同天线对应信号的差别信息；
基于原始信道信息确定的目标参数信息。
其中，原始信道信息包括以下至少一项：
信道矩阵H；
信道状态信息(Channel State Information，CSI)，例如频域信道响应的幅度/幅度的平方和/或相位，或者是频域信道响应的I路与Q路信号特征，例如I路与Q路信号幅度/幅度的平方。
所述信号强度信息包括以下至少一项：
参考信号接收功率(Reference Signal Received Power，RSRP)；
接收信号强度指示(Received Signal Strength Indicator，RSSI)。
所述谱信息包括以下至少一项：
信道功率时延谱(Power-Delay Profile，PDP)；
多普勒功率谱；
功率角度谱(Power Azimuth Spectrum，PAS)；
伪谱信息，例如，多重信号分类(Multiple Signal Classification，MUSIC)谱。
所述多径信息包括以下至少一项：
多径信道中每条径(至少包括首达径、视距无线传输(Line Of Sight，LOS)径、一阶反射径、多阶反射径)的功率；
多径信道中每条径的时延；
多径信道中每条径的角度。
不同天线对应信号的差别信息包括以下至少一项：
第一天线与第二天线的频域信道响应的商或共轭乘((或第一天线与第二天线的频域信道响应的商或共轭乘的幅度或相位，或第一天线与第二天线的频域信道响应的商或共轭乘的I路或Q路，或第一天线与第二天线的频域信道响应的商或共轭乘的I路或Q路的投影运算，投影运算可以是I*cos(theta)+Q*sin(theta)，其中theta为某一角度值，不同的theta对应不同的投影，I代表I路数据，Q代表Q路数据))；
第一天线与第二天线的接收信号的幅度比或幅度差；
第一天线与第二天线信号的相位差；
第一天线与第二天线信号的时延差。
基于原始信道信息确定的目标参数信息包括以下至少一项：
多普勒扩展；
多普勒频移；
最大时延扩展；
角度扩展；
相干带宽；
相干时间。
角度信息包括以下至少一项：
到达角；
离开角。
该角度信息包括UE侧角度信息、基站侧角度信息与反射点角度信息。
步骤202：所述第一设备将所述第二感知测量结果上报给第二设备。
本申请实施例中，在根据接收到的第一信号得到与感知测量量对应的第一感知测量结果后，对该第一感知测量结果进行预处理，从而得到满足相应要求的第二感知测量结果。例如对多个资源上的第一感知测量结果进行插值处理或样值抽取处理，使得处理后的第二感知测量结果是在相应资源上对第一感知测量结果进行均匀采样得到的，使得第二感知测量结果能够满足均匀采样的上报需求，又例如，对第一感知测量结果进行合并或压缩处理，使得第二感知测量结果能够满足减少上报开销的上报需求。
可选地，所述第一设备对第一感知测量结果进行预处理，包括：
所述第一设备获取第二设备指示的所述第一感知测量结果的预处理信息；
所述第一设备根据所述预处理信息，对所述第一感知测量结果进行预处理。
可选地，所述第一设备获取第二设备指示的所述第一感知测量结果的预处理信息，包括：
所述第一设备根据第二设备发送的目标指示信息，获取所述预处理信息；
其中，所述目标指示信息包括预处理指示信息和感知指示信息中的至少一项，所述预处理指示信息用于指示所述预处理信息，所述感知指示信息与所述预处理信息相关联。
这里，可通过上述预处理指示信息直接指示预处理信息，也可通过感知指示信息间接指示预处理信息。
可选地，所述预处理信息包括以下至少一项：
是否对第一感知测量结果进行预处理，例如，采用1比特信息表示，该1比特信息为0时指示不对第一感知测量结果进行预处理，该1比特信息为1时指示对第一感知测量结果进行预处理；
预处理启动的条件信息，例如，当预处理方式为插值时，该条件信息可以具体是第一感知测量结果的有效采样点的比例大于第一预设阈值；当预处理方式为样值抽取时，该条件信息可以具体是第一感知测量结果的采样率高于某一预设阈值，或第一感知测量结果的数据量大于某一预设阈值；当预处理方式为杂波抑制时，该条件信息可以具体是第一感知测量结果的杂波分量大于某一预设阈值；当预处理方式为抑噪处理时，该条件信息可以是第一感知测量结果的SNR小于第二预设阈值，或者，是位于预设区间范围内；当预处理方式为剔除离群值时，该条件信息可以具体是第一感知测量结果的方差高于某一预设阈值；当预处理方式为滤波时，该条件信息可以某一频率范围内信号幅度之和大于某一预设阈值；当预处理方式为压缩时，该条件信息可以具体是第一感知测量结果的数据量大于某一预设阈值。
所述第一感知测量结果对应的第一参数的要求信息；
所述第二感知测量结果对应的第一参数的要求信息；
预处理方式；
与预处理方式关联的预处理参数信息；
其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
在本申请实施例中，对于第一感知测量结果对应的第一参数的要求信息，例如，该要求信息为要求第一感知测量结果对应的有效采样点的比例大于预定阈值，或者第一感知测量结果对应的感知性能指标大于预定阈值，则在第一感知测量结果对应的有效采样点的比例小于预定阈值时确定该第一感知测量结果无效，或者，该第一感知测量结果对应的感知性能指标小于预定阈值时确定该第一感知测量结果无效，则第一设备可不对该第一感知测量结果进行预处理。
对于第二感知测量结果对应的第一参数的要求信息，例如，该要求信息为要求第二感知测量结果对应的有效采样点的比例大于预定阈值，或者第二感知测量结果对应的感知性能指标大于预定阈值，则在对第一感知测量结果进行预处理后确定第二感知测量结果的有效采样点的比例小于预定阈值，或者，第二感知测量结果的感知性能指标小于预定阈值，则可不上报该第二感知测量结果。
可选地，所述预处理方式包括以下至少一项：
插值处理，可以是时域插值获得特定时间点的第二感知测量结果，也可以是频域插值获得特定频点的第二感知测量结果，还可以是空域插值获得特定天线或空间位置的第二感 知测量结果；具体的，所述利用第一感知测量结果插值得到第二感知测量结果，可以是根据第一感知测量结果对应的感知性能指标选择用于插值的第一感知测量结果，具体地，在至少一个与目标资源位置(时域、频域、空域)临近的资源位置对应的第一感知测量结果中，选择感知性能指标最优的或者感知性能指标超过预设门限的至少一个第一感知测量结果用于插值；
样值抽取处理，可以是时域样值抽取或频域样值抽取或空域样值抽取；
杂波抑制处理，即剔除第一感知测量结果中的杂波分量，方法可以是例如通过去除直流(时域减均值)的方式去除感知测量结果中的静态杂波分量；
抑噪处理，抑制第二感知测量结果中的噪声，方法可以是例如变换域抑噪(离散傅立叶变换(Discrete Fourier Transform，DFT)抑噪)、平均抑噪、最小均方误差(Minimum Mean Square Error，MMSE)滤波抑噪、离散小波变换(Discrete Wavelet Transform，DWT)抑噪、主成分分析(Principal Component Analysis，PCA)抑噪等；
剔除离群值处理，剔除第一感知测量结果中的离群值，对离群值的处理可以是丢弃或替换，方法可以是例如：绝对中位值偏差(Median Absolute Deviation，MAD)算法或Hampel滤波的方法、标准差法、百分位法等；
滤波处理，可以是低通滤波或高通滤波或带通滤波或带阻滤波，也可以是具体的滤波方式，例如Savitzky-Golay滤波、Hampel滤波、阿尔法滤波、Kalman滤波、Butterworth滤波、Chebyshev滤波、Elliptic滤波、Equiripple滤波等；
合并处理，可以是对至少两个第一感知测量结果求和、差、积、商、共轭乘、相关、卷积等；
压缩处理，可以是变换域压缩，例如将时域数据变换到多普勒域数据后保留幅度值超过门限的样值点，或将频域数据变换到时延域数据后保留幅度值超过门限的样值点，或者将时-频域数据变换到时延-多普勒域数据后保留幅度值超过门限的样值点，还可以是其他压缩方式，例如可变速率霍夫曼编码、A律编码、μ律编码等。
可选地，所述预处理参数信息包括以下至少一项：
第二感知测量结果对应的时域资源信息、频域资源信息或空间资源信息；
插值方式；
插值密度；
插值个数；
抽取方式；
抽取密度；
抽取个数；
杂波抑制的方式；
去除直流的窗口大小；
抑噪的算法信息；
目标信噪比SNR的门限信息；
离群值的剔除方式；
离群值的处理方式；
离群值的剔除窗口大小；
滤波方式；
滤波参数；
滤波器信息；
合并方式；
进行合并的第一感知测量结果的数量；
进行合并的第一感知测量结果的要求信息；
合并维度；
压缩方式；
压缩比例；
压缩后的数据量信息。
在本申请的具体实施例中，在预处理方式为插值方式时，上述预处理参数信息包括以下至少一项：插值方式；插值密度；插值个数；第二感知测量结果对应的时域资源信息、频域资源信息或空间资源信息。
在本申请的具体实施例中，在预处理方式为样值抽取方式时，上述预处理参数信息包括以下至少一项：抽取方式；抽取密度；抽取个数；第二感知测量结果对应的时域资源信息、频域资源信息或空间资源信息。
具体的，上述时域资源信息可以是第二感知测量结果对应的时间点、时间窗、周期或时域密度，该时间点可以为一个或多个，时域资源信息表示方式可以是绝对时间，例如通过协调世界时(Universal Time Coordinated，UTC)表示，或通过帧号、半帧号、子帧号或时隙号表示，也可以是相对时间。
上述频域资源信息可以是第二感知测量结果对应的频点、频率范围或频域密度，频率资源表示方式可以是真实频率值或子载波(SubCarrier，SC)或资源单元(Resource Element，RE)或物理资源块(Physical Resource Block，PRB)；
上述空间资源信息可以是第二感知测量结果对应的收天线索引、发天线索引、收发天线索引或空间位置坐标。
在本申请的具体实施例中，在预处理方式为杂波抑制处理时，上述预处理参数信息包括杂波抑制的方法和去除直流的窗口大小中的至少一项。
在本申请的具体实施例中，在预处理方式为抑噪处理时，上述预处理参数信息包括抑噪的算法和目标SNR门限中的至少一项。
在本申请的具体实施例中，在预处理方式为离群值剔除时，上述预处理参数信息包括以下至少一项：离群值剔除的方法，离群值的处理(丢弃、替换)，离群值剔除的窗口大 小。
在本申请的具体实施例中，在预处理方式为滤波处理时，上述预处理参数信息包括以下至少一项：滤波方式，例如低通滤波、高通滤波、带通滤波、带阻滤波，以及相对应的滤波参数，采用的具体滤波器。
在本申请的具体实施例中，在预处理方式为合并处理时，上述预处理参数信息包括以下至少一项：合并的方式、进行合并的第一感知测量结果个数与要求(例如对应的感知性能指标超过预设门限)、合并维度(例如，是在时域上合并还是在频域上合并等)。
在本申请的具体实施例中，在预处理方式为压缩处理时，上述预处理参数信息包括以下至少一项：压缩的方法，压缩比例，压缩后得到的第二感知测量结果的数据量大小。
可选地，所述感知指示信息包括以下至少一项：
感知需求信息；
感知测量量；
根据感知测量结果得到感知结果的算法信息，该算法信息包括算法类型，例如，采用快速傅里叶变换(Fast Fourier Transform，FFT)/逆快速傅里叶变换(Inverse Fast Fourier Transform，IFFT)或小波变换或MUSIC或基于旋转不变技术的信号参数估计(Estimation of Signal Parameters using Rotational Invariance Techniques，ESPRIT)或压缩感知(Compressed Sensing，CS)类算法等；
感知性能指标信息，该感知性能指标信息包括感知性能指标的定义/计算方法，感知性能指标门限等。
具体的，感知性能指标包括以下至少一项：
感知精度/感知误差，感知分辨率，感知范围，感知时延，检测概率，虚警概率，同时检测目标个数，用于感知的信号的SNR，RSRP，RSSI，参考信号接收质量(Reference Signal Receiving Quality，RSRQ)，信号杂波比，信号旁瓣特征(信号主瓣旁瓣比)，峰均比(Peak to Average Power Ratio，PAPR)，方差，标准差，平均绝对偏差，峰值大小，用于感知的目标信号分量与用于感知的其他信号分量之比。
所述用于感知的目标信号分量与用于感知的其他信号分量之比中，目标信号分量为接收的用于感知的信号中受感知目标影响较大的信号分量，可以是：
接收信号的频域信道响应中幅度最大的样值点对应的幅度或幅度的平方，或幅度最大的多个样值点对应的幅度和/或幅度的平方和，或某一个指定SC或PRB对应的样值点的幅度(或幅度平方)，或多个指定SC或PRB对应的样值点的幅度和(或幅度平方和)；
此时，其他信号分量可以是接收信号的频域信道响应的所有样值点对应的幅度的和或幅度的平方和，或所有样值点对应的幅度的均值或平方均值，或除所述幅度最大的一个或几个样值点/指定SC或PRB对应的样值点外的其他全部或部分样值点对应的幅度的和/或幅度的平方和，或除所述幅度最大的一个或几个样值点/指定SC或PRB对应的样值点外的其他全部或部分样值点对应的幅度的均值或平方均值；
接收信号的频域信道响应的逆傅里叶变换(IFFT)结果中幅度最大的样值点对应的幅度或幅度的平方，或幅度最大的多个样值点对应的幅度和/或幅度的平方和；
此时，其他信号分量可以是接收信号的频域信道响应的逆傅里叶变换(IFFT)结果中所有样值点对应的幅度的和/或幅度的平方和，或所有样值点对应的幅度的均值或平方均值，或除所述幅度最大的一个或几个样值点外的其他全部或部分样值点对应的幅度的和/或幅度的平方和，或除所述幅度最大的一个或几个样值点外的其他全部或部分样值点对应的幅度的均值或平方均值；
第一时域数据的FFT结果中幅度最大的样值点对应的幅度或幅度的平方，或幅度最大的多个样值点对应的幅度和/或幅度的平方和，其中，第一时域数据为一段时间内不同采样时刻的接收信号的某一个频率资源例如SC或RE或PRB对应的频域信道响应，或频域信道响应的幅值或幅值的平方或相位或I路数据或Q路数据，或I路数据和Q路数据的第一运算(所述第一运算可以是I*cos(theta)+Q*sin(theta)，其中theta为某一角度值，I代表I路数据，Q代表Q路数据)的结果所组成的数据；
此时，其他信号分量可以是第一时域数据的FFT结果中所有样值点对应的幅度的和/或幅度的平方和，或所有样值点对应的幅度的均值或平方均值，或除所述幅度最大的一个或几个样值点外的其他全部或部分样值点对应的幅度的和/或幅度的平方和，或除所述幅度最大的一个或几个样值点外的其他全部或部分样值点对应的幅度的均值或平方均值；
接收信号的信道响应的二维傅里叶变换结果，即时延-多普勒域结果中幅度最大的样值点对应的幅度或幅度的平方，或幅度最大的多个样值点对应的幅度和/或幅度的平方和；
此时，其他信号分量可以是接收信号的频域信道响应的所有样值点对应的幅度的和/或幅度的平方和，或所有样值点对应的幅度的均值或平方均值，或除所述幅度最大的一个或几个样值点外的其他全部或部分样值点对应的幅度的和/或幅度的平方和，或除所述幅度最大的一个或几个样值点外的其他全部或部分样值点对应的幅度的均值或平方均值；
接收信号的信道响应通过计算得到的伪谱(例如MUSIC谱)中幅度最大的样值点对应的幅度或幅度的平方，或幅度最大的多个样值点对应的幅度和/或幅度的平方和；
此时，其他感知信号分量可以是伪谱中所有样值点对应的幅度的和/或幅度的平方和，或所有样值点对应的幅度的均值或平方均值，或除所述幅度最大的一个或几个样值点外的其他全部或部分样值点对应的幅度的和/或幅度的平方和，或除所述幅度最大的一个或几个样值点外的其他全部或部分样值点对应的幅度的均值或平方均值。
进一步地，对于多天线场景(多输入多输出(Multiple-Input Multiple-Output，MIMO)，上述接收信号的频域信道响应可以是某一收发天线组合(例如天线1发天线1收或天线1发天线2收)对应的频域信道响应，也可以是至少两个收发天线组合对应的频域信道响应的合并，例如两个收发天线组合对应的频域信道响应的商或共轭乘。
可选地，所述感知需求信息包括以下至少一项：
感知业务类型，例如环境重构、呼吸检测、动作识别等；
感知区域，例如，感知区域地理坐标、感知区域长宽高距离等；
感知目标类型，例如汽车、摩托车、行人等等，侧面指示了感知目标移动速度范围、对无线信号反射功率等级；
感知/通感一体化服务质量(Quality of Service，QoS)，可以包括感知/通感一体化业务类型、感知/通感一体化业务优先级、感知分辨率的要求、感知精度或感知误差的要求、感知延时预算、最大感知范围的要求、连续感知能力的要求、感知更新频率的要求等等，以及通信QoS(通感一体化业务时)，例如通信延时预算、误报率等；
感知区域内感知目标数量；
感知区域内感知目标密度；
对感知结果的要求。
上述感知指示信息中的感知测量量已在上面描述中进行说明，此处不再赘述，该感知测量量与第一感知测量结果对应，用于指示第二设备根据接收到的用于感知的信号计算得到相应的第一感知测量结果。
可选地，所述第一设备根据所述预处理信息，对所述第一感知测量结果进行预处理之前，还包括：
所述第一设备向第二设备发送所述预处理信息的反馈信息，所述反馈信息包括第一反馈信息或第二反馈信息，所述第一反馈信息用于指示第二设备重新指示预处理信息，所述第二反馈信息用于指示所述第二设备重新配置所述第一信号；则
所述第一设备根据所述预处理信息，对所述第一感知测量结果进行预处理，包括：在所述反馈信息包括所述第一反馈信息的情况下，所述第一设备根据所述第二设备通过预处理指示信息重新指示的预处理信息，对所述第一感知测量结果进行预处理；
在所述反馈信息包括所述第二反馈信息的情况下，所述第一设备根据所述第二设备重新配置的第一信号，得到第一感知测量结果；并根据所述预处理信息对所述第一感知测量结果进行预处理。
本申请实施例中，第一设备通过上述反馈信息，通知第二设备更换预处理信息或者是更改第一信号的配置，以保证第二感知测量结果能够满足相应的要求。
可选地，所述第一设备向第二设备发送所述预处理信息的反馈信息，包括：
在满足目标条件的情况下，所述第一设备向所述第二设备发送所述反馈信息；
其中，所述目标条件包括以下至少一项：
所述第一设备不支持所述预处理信息指示的预处理方式(由于第一设备的能力限制)；
所述第二感知测量结果对应的第一参数不满足第二设备指示的要求信息，例如，对第一感知测量结果进行插值后，得到的第二感知测量结果对应的感知精度不满足感知指示信息中指示的感知精度的门限要求；
所述第一感知测量结果对应的第一参数不满足第二设备指示的要求信息；
其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
可选地，所述第一设备获取第二设备指示的所述第一感知测量结果的预处理信息之前，还包括：
所述第一设备向第二设备发送预处理能力信息，所述预处理能力信息用于指示所述第一设备支持的预处理能力，所述预处理能力信息用于确定所述预处理信息。
其中，所述预处理能力信息包括所述第一设备支持的预处理方式和/或与预处理方式关联的预处理参数信息。该预处理方式和预处理参数信息已在上面进行详细描述，此处不再赘述。
这里，第一设备将其支持的预处理能力发送给第二设备，以便于第二设备根据该预处理能力为其配置预处理信息。
需要说明的是，本申请实施例中，感知测量过程中用于感知的信号的收发方式包括以下几种方式，第一设备可以是基站或UE，第二设备可以是核心网的感知网络功能设备或感知网元，也可以是基站或UE。
方式1：基站A发用于感知的信号，基站B收用于感知的信号：
基站B作为第一设备，基站A作为第二设备；
基站A/B作为第一设备，核心网作为第二设备。
方式2：基站发用于感知的信号，UE收用于感知的信号：
基站作为第二设备，UE作为第一设备；
核心网作为第二设备，基站/UE作为第一设备。
方式3：基站自发自收：
核心网作为第二设备，基站作为第一设备。
方式4：UE自发自收：
基站作为第二设备，UE作为第一设备
核心网作为第二设备，UE作为第一设备。
方式5：UE发，基站收：
核心网作为第二设备，基站作为第一设备。
方式6：UE A发，UE B收：
UE A作为第二设备，UE B作为第一设备；
UE A/B的接入基站作为第二设备，UE A/B作为第一设备；
核心网作为第二设备，UE A/B作为第一设备。
本申请实施例中的信号发送设备可以是多个设备，信号接收设备可以是多个设备；上述的基站还可以是TRP，AP，Relay，可重构智能表面(Reconfigurable Intelligent Surface，RIS)等；
具体地，对于UE向基站或核心网上报第二感知测量结果，感知测量执行方式可以分为如下4种场景：
基站发信号，UE接收信号并计算得到需要上报给基站或核心网的第二感知测量结果；
UE自发自收信号并计算得到需要上报给基站或核心网的第二感知测量结果；
UE A发信号，UE B接收信号并计算得到需要上报给UE A或基站或核心网的第二感知测量结果(第二感知测量结果可以是UE B直接上报给基站，也可以是UE B先发送给UE A，再由UE A上报给基站)；
UE A发信号，UE B接收信号并计算得到需要上报给UE A的第一感知测量结果，UE A根据UE B上报的第一感知测量结果计算得到需要上报给基站或核心网的第二感知测量结果；
对于基站向核心网上报第二感知测量结果，感知测量执行方式可以分为如下7种场景：
基站发信号，UE接收信号并计算得到需要上报给基站的第一感知测量结果，基站根据UE上报的第一感知测量结果计算得到需要上报给核心网的第二感知测量结果；
UE发信号，基站接收信号并计算得到需要上报给核心网的第二感知测量结果；
基站自发自收信号并计算得到需要上报给核心网的第二感知测量结果；
基站A发信号，基站B接收信号并计算得到需要上报给核心网的第二感知测量结果(第二感知测量结果可以是基站B直接上报给核心网，也可以是基站B先发送给基站A，再由基站A上报给核心网)；
基站A发信号，基站B接收信号并计算得到需要上报给基站A的第一感知测量结果，基站A根据基站B上报的第一感知测量结果计算得到需要上报给基站或核心网的第二感知测量结果；
UE自发自收信号并计算得到需要上报给基站的第一感知测量结果，基站根据UE上报的第一感知测量结果计算得到需要上报给核心网的第二感知测量结果；
UE A发信号，UE B接收信号并计算得到需要上报给基站的第一感知测量结果(第一感知测量结果可以是UE B直接上报给基站，也可以是UE B先发送给UE A，再由UE A上报给基站)，基站根据UE上报的第一感知测量结果计算得到需要上报给核心网的第二感知测量结果。
本申请实施例中感知网络接口架构如图3所示，UE向核心网的网络功能设备或网元(如感知网络功能设备或感知网元)上报第二感知测量结果的方法可以是：利用无线资源控制(Radio Resource Control，RRC)信令或媒体介入控制层(Mediu Access Control，MAC)控制单元(Control Element，CE)或非接入层(Non Access Stratum，NAS)信令(到AMF)或层1信令(上行控制信息(Uplink Control Information，UCI))或其他新定义感知信令，也可以是通过用户面上报(例如核心网是协议数据单元(Protocol Data Unit，PDU)会话(session)，RAN侧是数据无线承载(Data Radio Bearer，DRB)，或者感知专用用户面通道)；
从物理层角度出发，具体的传输方式可以是在连接态通过上行控制信道或业务信道或随机接入信道，例如PUCCH、PUSCH，或在空闲(idle)态/非激活(inactive)态通过发起小数据传输(Small Data Transmission，SDT)，或通过随机接入流程中的MSG1或MSG3 或MSG A，也可以通过新定义的感知专用信道上报给基站，基站通过N2接口发送给AMF，AMF转发给核心网的网络功能设备或网元(如感知网络功能设备/感知网元)，或者基站通过N3接口发送给UPF，UPF转发给核心网的网络功能设备或网元(如感知网络功能设备/感知网元)，或者基站通过新定义接口发送给核心网的网络功能设备或网元(如感知网络功能设备/感知网元)；
UE向基站上报第二感知测量结果的方法可以是：利用RRC信令或MAC CE或层1信令(UCI)或其他新定义感知信令，或者感知专用数据交互通道；
从物理层角度出发，具体的传输方式可以是在连接态通过上行控制信道或业务信道或随机接入信道，例如PUCCH、PUSCH，或在idle/inactive态通过发起SDT，或通过随机接入流程中的MSG1或MSG3或MSG A上报给基站，也可以通过新定义的感知专用信道；
UE B向UE A上报第二感知测量结果的方法可以是：利用RRC信令或MAC CE或层1信令(副链路控制信息(Sidelink Control Information，SCI))或其他新定义信令承载，或者感知专用数据交互通道；
从物理层角度出发，具体的传输方式可以是通过侧行链路控制信道或业务信道或反馈信道，例如物理副链路控制信道(Physical SideLink Control Channel，PSCCH)、物理副链路共享信道(Physical SideLink Shared Channel，PSSCH)、物理副链路反馈信道(Physical SideLink Feedback Channel，PSFCH)，或通过新定义的感知专用信道。
基站通过N2接口发送给AMF，AMF转发给核心网的网络功能或网元(如感知网络功能设备/感知网元)，或者基站通过N3接口发送给UPF，UPF转发给核心网的网络功能设备或网元(如感知网络功能设备/感知网元)，或者基站通过新定义接口发送给核心网的网络功能设备或网元(如感知网络功能设备/感知网元)。
另外，本申请实施例中涉及的感知业务包括但不限于以下业务：
物体特征检测：能够反映目标物体的属性或所处状态的信息，可以为以下至少一项：目标物体的位置、目标物体的速度、目标物体的加速度、目标物体的材料、目标物体的形状、目标物体的类别、目标物体的雷达散射截面积RCS(Radar Cross Section，RCS)，极化散射特性等；
事件检测：与目标事件有关的信息，即在目标事件发生时能够检测/感知到的信息，可以为：跌倒检测、入侵检测、数量统计、室内定位、手势识别、唇语识别、步态识别、表情识别、呼吸监测、心率监测、声源分辨等；
环境检测：湿度、亮度、温度湿度、大气压强、空气质量、天气情况、地形地貌、建筑/植被分布、人数统计、人群密度、车辆密度等。
下面结合具体的预处理方式对本申请的感知方法进行说明。
(一)在预处理方式为插值或样值抽取处理时，插值处理的具体方式包括以下至少一种：
(1)复制插值：将与目标资源位置临近的资源位置对应的第一感知测量结果直接作 为目标资源位置对应的第二感知测量结果；
(2)线性插值：一次多项式的插值方式，根据两个已知感知测量结果对应的资源位置与目标资源位置的距离确定权重因子，即使用连接两个已知第一感知测量结果的直线确定未知第二感知测量结果的方法，是一种广泛使用的插值方法；
(3)平均插值，利用至少两个与目标资源位置临近的资源位置对应的第一感知测量结果的平均值作为第二感知测量结果；
(4)基于DFT/FFT或IDFT/IFFT的变换域插值：将待插值的时域信号采样序列变换到多普勒域，在多普勒域序列中部插入零值序列，再将新构造的序列变换回时域完成插值，或者将待插值的频域信号采样序列变换到时延域，在时延域序列尾部插入零值序列，再将新构造的序列变换回频域完成插值；
(5)拉格朗日插值法或牛顿插值法：构造拉格朗日插值多项式或牛顿插值多项式，利用多项式运算获得所需插值时间点或频点上信号采样值；
(6)分段插值方法(如3次样条插值：对数字信号的每一段分别构造插值多项式，利用多项式运算获得所需插值时间点或频点上信号采样值；
(7)MMSE滤波/维纳滤波插值：根据相关先验信息，例如相干带宽、相干时间、信噪比等信息计算插值滤波系数进行插值；
(8)Shepard插值：逆距离加权数据插值，数据的加权值与其到插值位置的距离成反比。
本申请实施例的流程具体包括：
(1)基站按照感知需求和/或用于感知的信号的配置发送用于感知的信号，感知需求和/或用于感知的信号的配置可以来自核心网的网络功能设备或网元(如感知网络功能设备/感知网元)。
所述用于感知的信号可以是相同类型的信号也可以是不同类型的信号，例如感知信号、通信信号、通感一体化信号中的至少一种，其中通信信号也可以是相同的参考信号或不同的参考信号或数据符号，所述参考信号至少为表1中的一种：
表1
NR下行链路参考信号 NR上行链路参考信号 NR副链路(Sidelink)参考信号
PDSCH-DMRS PUSCH-DMRS PSSCH-DMRS
PDCCH-DMRS PUCCH-DMRS PSCCH-DMRS
PBCH-DMRS PTRS PSSCH-PTRS
PT-RS SRS PSBCH-DMRS
CSI-RS   CSI-RS
RIM-RS    
P-RS    
用于感知的信号的时域和频域资源可以是非均匀分布的，其对应的收发天线也可以是 均匀分布的或稀疏的，以时域为例，两种不同种类的用于感知的信号格式如图4所示。
(2)基站向UE发送感知测量结果的上述预处理指示信息，用于指示UE确定是否需要插值预处理以及插值的方式。
(3)可选地，基站向UE发送上述感知指示信息，UE根据感知指示信息确定预处理指示信息，即是否需要插值或抽取预处理以及插值或抽取的方式。
需要说明的是，步骤1)、2)、3)并无先后关系。
(4)UE根据接收信号计算得到第一感知测量结果，假设所接收的用于感知的信号如图4所示，则第一感知测量结果时域分布如图5所示(其中t2-t1＝t*-t2＝…＝t7-t6，即除了t2～t3时刻外，其余时刻对应的用于感知的信号以及相应地计算出的感知测量结果在时域上均匀分布)；
其中，不同时刻对应的第一感知测量结果可以是频域信道响应H，通过信道估计，例如最小二乘(LS)信道估计(即H＝Y./X，Y为接收到的用于感知的信号的频域形式，X为本地用于感知的信号的频域形式，其中./表示点除，即逐个元素相除)或最小均方误差(MMSE)信道估计得到，还可以是频域信道响应H的幅度或幅度的平方和/或相位，或者是频域信道响应的I路和/或Q路信号特征，例如I路和/或Q路信号幅度或幅度的平方。
(5)UE对第一感知测量结果进行插值，如图6所示，即基站发送的感知测量结果的预处理指示信息中，需要根据t1～t7时刻的第一感知测量结果，进行插值得到t*时刻的感知测量结果，或者，UE根据基站发送的感知指示信息确定需要插值得到t*时刻的感知测量结果以保证感知测量结果在时域上为均匀采样。
其中t*时刻的感知测量结果由t1～t7时刻的感知测量结果插值得到，其中t1～t7时刻的感知测量结果为第一感知测量结果，t1～t7时刻和t*时刻的感知测量结果为第二感知测量结果。
插值的方式即在将t1～t7时刻对应的感知测量结果中选择至少一个乘以一定权重系数并相加作为t*时刻的感知测量结果，其中选择的用于插值的感知测量结果的依据可以是与t*时刻相差的时间间隔的大小和/或t1～t7时刻计算得到的感知测量结果对应的感知性能指标，例如选择临近的t2时刻和t3时刻对应的感知测量结果X2和X3，通过线性插值得到t*时刻对应的感知测量结果X*，其满足关系式：(X*-X2)/(t*-t2)＝(X3-X*)/(t3-t*)；又例如，选择临近的且感知性能指标最优(或感知性能指标超过预设门限)的t2时刻和t4时刻对应的感知测量结果X2和X4(此时，t2时刻虽然与t*时刻时间间隔更小，但其感知性能指标未过门限或劣于t4时刻计算得到的感知测量结果对应的感知性能指标)，通过线性插值得到t*时刻对应的感知测量结果X*，其满足关系式：(X*-X2)/(t*-t2)＝(X4-X*)/(t4-t*)。
(6)可选地，UE对插值后或插值前的感知测量结果进行抽取，例如基站发送的感知测量结果的预处理指示信息中，需要抽取得到t1、t*、t4、t6时刻的感知测量结果，或者，UE根据基站发送的感知指示信息确定最终感知结果的计算需要的感知测量结果满足的时域最小采样间隔为t*-t1，则只需要上报t1、t*、t4、t6时刻的感知测量结果(或者t2、t3、 t5、t7时刻的感知测量结果)。
(7)UE将插值和/或抽取后的第二感知测量结果上报给基站。
(二)在预处理方式为剔除离群值时，具体的流程包括：
(1)基站按照感知需求和/或用于感知的信号的配置发送用于感知的信号，感知需求和/或用于感知的信号的配置可以来自核心网的网络功能设备或网元(如感知网络功能设备/感知网元)；
所述用于感知的信号可以是相同类型的信号也可以是不同类型的信号，例如感知信号、通信信号、通感一体化信号中的至少一种，其中通信信号也可以是相同的参考信号或不同的参考信号或数据符号，所述参考信号可为表1中的一种。
(2)基站向UE发送感知测量结果的预处理指示信息，用于指示UE确定是否需要剔除离群值以及剔除离群值的方式，其中，剔除离群值的方式包括算法选择，以及剔除离群值的窗口大小，即用于一次剔除离群值相关计算的样值个数。
(3)可选地，基站向UE发送感知指示信息，UE根据感知指示信息确定第一感知测量结果的预处理信息，即是否需要剔除离群值以及剔除离群值的方式。
需要注意的是，步骤1)、2)、3)并无先后关系。
其中，剔除离群值的方式以标准差法为例，步骤可以是：
选定剔除异常值窗口，计算窗口内数据均值
Figure PCTCN2022138389-appb-000001
计算窗口内数据标准差σ；
找到窗口内相对于均值偏差超过n倍标准差的样值，即
Figure PCTCN2022138389-appb-000002
将x替换为前一个样值或后一个样值或均值或舍弃。
(4)UE根据接收信号计算得到第一感知测量结果，假设剔除离群值的窗口大小为1000个样值点，窗口内第一感知测量结果时域幅度分布如图7所示；
(5)UE对剔除离群值的窗口内第一感知测量结果进行离群值剔除(将离群值进行替换)，得到第二感知测量结果的时域幅度分布如图8所示：
(6)UE第二感知测量结果上报给基站。
(三)在预处理方式为滤波处理时，主要流程同上述预处理方式为插值或样值抽取时的流程，其中，基站向UE发送的预处理指示信息中，指示UE确定是否需要滤波以及与滤波相关联的预处理参数信息，可选地，UE根据感知指示信息确定是否需要滤波以及滤波的方式。
其中，与滤波相关联的预处理参数信息可以是：
滤波响应类型，包括：低通、高通、带通、带阻；
设计方法：无限脉冲响应(Infinite Impulse Response，IIR)，包括例如Butterworth、Chebyshev、Elliptic等)、非递归型(Finite Impulse Response，FIR)，包括例如Equiripple、Interpolated FIR等)；
滤波器阶数；
频率设置，包括：采样频率、通带频率、中心频率、截止频率等；
幅度特性：通带平坦度、阻带衰减等；
该实施例中也可以指定具体的滤波器，还可以指定具体的滤波器系数。例如，与滤波相关联的预处理参数信息中指定具体的滤波器为Savitzky-Golay滤波器，滤波器阶数为41阶，UE根据指示对第一感知测量结果进行滤波得到第二感知测量结果。
(四)在预处理方式为抑噪处理时，主要流程同上述预处理方式为插值或样值抽取时的流程，其中基站向UE发送的预处理指示信息中，指示UE确定是否需要抑噪以及与抑噪相关联的预处理参数信息，可选地，UE根据感知指示信息确定是否需要抑噪以及抑噪的方式。
其中，与抑噪相关联的预处理参数信息可以是：
抑噪算法，该抑噪算法的选择与感知业务相关联；
目标SNR门限：即抑噪后的第二感知测量结果的SNR需要高于目标SNR门限，其中SNR可以是信号与噪声功率之比，也可以是用于感知的目标信号分量与其他用于感知的信号分量之比。
与抑噪算法相关联的参数信息：以DWT为例，所述与抑噪算法相关联的参数信息可以是：迭代分解次数、采用的滤波器(例如Daubechies小波滤波器)、小波基函数、期望抑噪结果等。
其中，期望抑噪结果即上报的第二感知测量结果，对于DWT而言，利用DWT经过L步迭代分解可以将原始数据分解为近似系数向量和细节系数向量：近似系数向量代表了具有大尺度特征的输入信号的基本形状，而细节系数向量则描述了具有小尺度特征的高频噪声和细节信息。期望抑噪结果(第二感知测量结果)可以是近似系数向量和/或细节系数向量，也可以是二者按一定规则合并的结果，例如加权求和等。
(五)在预处理方式为合并处理时，主要流程同上述预处理方式为插值或样值抽取时的流程，其中基站向UE发送的预处理指示信息中，指示UE确定是否需要合并以及与合并相关联的预处理参数信息，可选地，UE根据感知指示信息确定是否需要合并以及合并的方式。
其中，与合并相关联的预处理参数信息可以是：
合并方法：对第一感知测量结果的多个采样值直接求和、加权求和(例如求平均值)、求商(点除)、共轭乘、求差，相关、卷积等。
进行合并的第一感知测量结果个数与要求(例如对应的感知性能指标超过预设门限)。
合并维度，至少包括以下一种：频域合并、时域合并、天线域合并、码域合并、时延域合并、多普勒域合并、角度域合并。
例如，指示的合并方式为频域直接求和，第一设备计算得到多个频域位置对应的感知测量结果，则第一设备将多个频域位置的感知测量结果相加作为第二感知测量结果；
又例如，指示的合并方式为天线域求商(点除，即逐个元素相除)，第一设备计算得 到天线组合1(发天线1收天线1)和天线组合2(发天线1收天线2)对应的频域信道响应，则第一设备将两组天线组合对应的频域信道响应的商作为第二感知测量结果；
又例如，指示的合并方式为天线域求商(合并1)后频域加权求和(合并2)，加权因子为感知性能指标相关的值，以呼吸检测为例，经过天线域求商(合并1)后得到每个子载波对应的第一感知测量结果为至少以下一种：频域信道响应商H_ratio的幅度和/或相位，或者是H_ratio的I路和/或Q路的幅度，或者是H_ratio的I、Q路信号的投影运算结果(投影运算可以是I*cos(theta)+Q*sin(theta)，其中theta为某一角度值，不同的theta对应不同的投影，I代表I路数据，Q代表Q路数据)，或者上述几种结果对应的时域自相关结果；感知性能指标定义为呼吸噪声比(Breath to Noise Ratio，BNR)，计算方式为：特定时间窗口内的第一感知测量结果的FFT运算后，目标感知信号分量与其他感知信号分量之比，目标感知分量为FFT结果中全部样值点或部分样值点中幅度最大的至少一个样值点对应的幅度或幅度的平方，可以认为，该幅度最大的至少一个样值点为呼吸频率对应的样值点，如图9中X＝-0.5和X＝0.5对应的样值点，其中，部分样值点是根据实际呼吸频率范围确定的，如图9中方框内的样值点。其他感知信号分量可以是FFT结果中全部样值点对应的幅度和/或幅度的平方和，也可以是所有样值点对应的幅度的均值或平方均值，或者是FFT结果中除目标感知分量对应的样值点之外的全部样值点对应的幅度和/或幅度的平方和，也可以是FFT结果中除目标感知分量对应的样值点之外的全部样值点对应的幅度的均值或平方均值；假设有两个子载波SC1和SC2，对应的第一感知测量结果分别为第一感知测量结果1和第一感知测量结果2，对应的感知性能指标的值分别是BNR1和BNR2，将第一感知测量结果1*BNR1+第一感知测量结果2*BNR2作为第二感知测量结果，或者将第一感知测量结果1*BNR1/(BNR1+BNR2)+第一感知测量结果2*BNR2/(BNR1+BNR2)作为第二感知测量结果。
本申请实施例中，在根据接收到的第一信号得到与感知测量量对应的第一感知测量结果后，对该第一感知测量结果进行预处理，从而得到满足相应要求的第二感知测量结果。例如对多个资源上的第一感知测量结果进行插值处理或样值抽取处理，使得处理后的第二感知测量结果是在相应资源上对第一感知测量结果进行均匀采样得到的，使得第二感知测量结果能够满足均匀采样的上报需求，又例如，对第一感知测量结果进行合并或压缩处理，使得第二感知测量结果能够满足减少上报开销的上报需求。
如图10所示，本申请实施例还提供了一种感知方法，包括：
步骤1001：第二设备获取第一设备发送的第二感知测量结果，所述第二感知测量结果是对第一感知测量结果进行预处理之后得到的感知测量结果，所述第一感知测量结果是第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果。
本申请实施例中，第二设备获取的第二感知测量结果是对第一感知测量结果进行预处理之后得到的感知测量结果，如对多个资源上的第一感知测量结果进行插值处理或样值抽取处理，使得处理后的第二感知测量结果是在相应资源上对第一感知测量结果进行均匀采 样得到的，使得第二感知测量结果能够满足均匀采样的上报需求，又例如，对第一感知测量结果进行合并或压缩处理，使得第二感知测量结果能够满足减少上报开销的上报需求，这样，通过对第一感知测量结果进行预处理能够得到满足相应要求的第二感知测量结果。
可选地，所述第二设备获取第一设备发送的第二感知测量结果之前，还包括：
所述第二设备指示第一感知测量结果的预处理信息。
可选地，所述第二设备指示第一感知测量结果的预处理信息，包括：
所述第二设备发送预处理指示信息和感知指示信息中的至少一项；
其中，所述预处理指示信息用于指示所述预处理信息，所述感知指示信息与所述预处理信息相关联。
可选地，所述预处理信息包括以下至少一项：
是否对第一感知测量结果进行预处理；
预处理启动的条件信息；
所述第一感知测量结果对应的第一参数的要求信息；
所述第二感知测量结果对应的第一参数的要求信息；
预处理方式；
与预处理方式关联的预处理参数信息；
其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
可选地，所述预处理方式包括以下至少一项：
插值处理；
样值抽取处理；
杂波抑制处理；
抑噪处理；
剔除离群值处理；
滤波处理；
合并处理；
压缩处理。
可选地，所述感知指示信息包括以下至少一项：
感知需求信息；
感知测量量；
根据感知测量结果得到感知结果的算法信息；
感知性能指标信息。
可选地，本申请实施例的方法还包括：
所述第二设备获取第一设备发送的所述预处理信息的反馈信息；所述反馈信息包括第一反馈信息或第二反馈信息，所述第一反馈信息用于指示第二设备重新指示预处理信息，所述第二反馈信息用于指示所述第二设备重新配置所述第一信号根据所述反馈信息，发送 重新配置的第一信号或通过预处理指示信息重新指示预处理信息。
可选地，所述第二设备指示第一感知测量结果的预处理信息，包括：
所述第二设备获取第一设备的预处理能力信息；
所述第二设备根据所述预处理能力信息，指示所述第一感知测量结果的预处理信息。
需要说明的是，第二设备侧的感知方法是与第一设备侧的方法对应的方法，第二设备与第一设备的具体交互过程已在上述第一设备侧的方法实施例中进行详细描述，此处不再赘述。
本申请实施例提供的感知方法，执行主体可以为感知装置。本申请实施例中以感知装置执行感知方法为例，说明本申请实施例提供的感知装置。
如图11所示，本申请实施例提供了一种感知装置1100，包括：
处理模块1101，用于对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是所述第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果；
上报模块1102，用于将所述第二感知测量结果上报给第二设备。
可选地，所述处理模块包括：
第一获取子模块，用于获取第二设备指示的所述第一感知测量结果的预处理信息；
第一处理子模块，用于根据所述预处理信息，对所述第一感知测量结果进行预处理。
可选地，所述第一获取子模块用于根据第二设备发送的目标指示信息，获取所述预处理信息；
其中，所述目标指示信息包括预处理指示信息和感知指示信息中的至少一项，所述预处理指示信息用于指示所述预处理信息，所述感知指示信息与所述预处理信息相关联。
可选地，所述预处理信息包括以下至少一项：
是否对第一感知测量结果进行预处理；
预处理启动的条件信息；
所述第一感知测量结果对应的第一参数的要求信息；
所述第二感知测量结果对应的第一参数的要求信息；
预处理方式；
与预处理方式关联的预处理参数信息；
其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
可选地，所述预处理方式包括以下至少一项：
插值处理；
样值抽取处理；
杂波抑制处理；
抑噪处理；
剔除离群值处理；
滤波处理；
合并处理；
压缩处理。
可选地，所述预处理参数信息包括以下至少一项：
第二感知测量结果对应的时域资源信息、频域资源信息或空间资源信息；
插值方式；
插值密度；
插值个数；
抽取方式；
抽取密度；
抽取个数；
杂波抑制的方式；
去除直流的窗口大小；
抑噪的算法信息；
目标信噪比SNR的门限信息；
离群值的剔除方式；
离群值的处理方式；
离群值的剔除窗口大小；
滤波方式；
滤波参数；
滤波器信息；
合并方式；
进行合并的第一感知测量结果的数量；
进行合并的第一感知测量结果的要求信息；
合并维度；
压缩方式；
压缩比例；
压缩后的数据量信息。
可选地，所述感知指示信息包括以下至少一项：
感知需求信息；
感知测量量；
根据感知测量结果得到感知结果的算法信息；
感知性能指标信息。
可选地，所述感知测量量包括以下至少一项：
原始信道信息；
信号强度信息；
谱信息；
多径信息；
角度信息；
不同天线对应信号的差别信息；
基于原始信道信息确定的目标参数信息。
可选地，本申请实施例的装置，还包括：
反馈模块，用于在处理模块根据所述预处理信息，对所述第一感知测量结果进行预处理之前，向第二设备发送所述预处理信息的反馈信息，所述反馈信息包括第一反馈信息或第二反馈信息，所述第一反馈信息用于指示第二设备重新指示预处理信息，所述第二反馈信息用于指示所述第二设备重新配置所述第一信号；则
所述处理模块用于在所述反馈信息包括所述第一反馈信息的情况下，所述第一设备根据所述第二设备通过预处理指示信息重新指示的预处理信息，对所述第一感知测量结果进行预处理；
在所述反馈信息包括所述第二反馈信息的情况下，所述第一设备根据所述第二设备重新配置的第一信号，得到所述第一感知测量结果；并根据所述预处理信息对所述第一感知测量结果进行预处理。
可选地，所述反馈模块用于在满足目标条件的情况下，向所述第二设备发送所述反馈信息；
其中，所述目标条件包括以下至少一项：
所述第一设备不支持所述预处理信息指示的预处理方式；
所述第二感知测量结果对应的第一参数不满足第二设备指示的要求信息；
所述第一感知测量结果对应的第一参数不满足第二设备指示的要求信息；
其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
可选地，本申请实施例的装置，还包括：
发送模块，用于在第一获取子模块获取第二设备指示的所述第一感知测量结果的预处理信息之前，向第二设备发送预处理能力信息，所述预处理能力信息用于指示所述第一设备支持的预处理能力，所述预处理能力信息用于确定所述预处理信息。
可选地，所述第一信号包括以下至少一种信号类型的信号：
感知信号；
通信信号；
通感一体化信号。
本申请实施例中，在根据接收到的第一信号得到与感知测量量对应的第一感知测量结果后，对该第一感知测量结果进行预处理，从而得到满足相应要求的第二感知测量结果。例如对多个资源上的第一感知测量结果进行插值处理或样值抽取处理，使得处理后的第二 感知测量结果是在相应资源上对第一感知测量结果进行均匀采样得到的，使得第二感知测量结果能够满足均匀采样的上报需求，又例如，对第一感知测量结果进行合并或压缩处理，使得第二感知测量结果能够满足减少上报开销的上报需求。
本申请实施例中的感知装置可以是电子设备，例如具有操作系统的电子设备，也可以是电子设备中的部件，例如集成电路或芯片。该电子设备可以是终端，也可以为除终端之外的其他设备。示例性的，终端可以包括但不限于上述所列举的终端11的类型，其他设备可以为服务器、网络附属存储器(Network Attached Storage，NAS)等，本申请实施例不作具体限定。
本申请实施例提供的感知装置能够实现图2至图10的方法实施例实现的各个过程，并达到相同的技术效果，为避免重复，这里不再赘述。
可选地，如图12所示，本申请实施例还提供一种通信设备1200，包括处理器1201和存储器1202，存储器1202上存储有可在所述处理器1201上运行的程序或指令，例如，该通信设备1200为第一设备时，该程序或指令被处理器1201执行时实现上述第一设备侧的方法实施例的各个步骤，且能达到相同的技术效果。该通信设备1200为第二设备时，该程序或指令被处理器1201执行时实现上述第二设备侧的方法实施例的各个步骤，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供一种第一设备，包括处理器和通信接口，处理器用于对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是所述第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果，通信接口用于将所述第二感知测量结果上报给第二设备。该实施例与上述第一设备侧方法实施例对应，上述方法实施例的各个实施过程和实现方式均可适用于该实施例中，且能达到相同的技术效果。具体地，图13为实现本申请实施例的一种第一设备(具体为终端)的硬件结构示意图。
该终端1300包括但不限于：射频单元1301、网络模块1302、音频输出单元1303、输入单元1304、传感器1305、显示单元1306、用户输入单元1307、接口单元1308、存储器1309以及处理器1310等中的至少部分部件。
本领域技术人员可以理解，终端1300还可以包括给各个部件供电的电源(比如电池)，电源可以通过电源管理系统与处理器1310逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。图13中示出的终端结构并不构成对终端的限定，终端可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置，在此不再赘述。
应理解的是，本申请实施例中，输入单元1304可以包括图形处理单元(Graphics Processing Unit，GPU)13041和麦克风13042，图形处理器13041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。显示单元1306可包括显示面板13061，可以采用液晶显示器、有机发光二极管等形式来配置显示面板13061。用户输入单元1307包括触控面板13071以及其他输入设备13072 中的至少一种。触控面板13071，也称为触摸屏。触控面板13071可包括触摸检测装置和触摸控制器两个部分。其他输入设备13072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆，在此不再赘述。
本申请实施例中，射频单元1301接收来自网络侧设备的下行数据后，可以传输给处理器1310进行处理；另外，射频单元1301可以向网络侧设备发送上行数据。通常，射频单元1301包括但不限于天线、放大器、收发信机、耦合器、低噪声放大器、双工器等。
存储器1309可用于存储软件程序或指令以及各种数据。存储器1309可主要包括存储程序或指令的第一存储区和存储数据的第二存储区，其中，第一存储区可存储操作系统、至少一个功能所需的应用程序或指令(比如声音播放功能、图像播放功能等)等。此外，存储器1309可以包括易失性存储器或非易失性存储器，或者，存储器1309可以包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synch link DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DRRAM)。本申请实施例中的存储器1309包括但不限于这些和任意其它适合类型的存储器。
处理器1310可包括一个或多个处理单元；可选地，处理器1310集成应用处理器和调制解调处理器，其中，应用处理器主要处理涉及操作系统、用户界面和应用程序等的操作，调制解调处理器主要处理无线通信信号，如基带处理器。可以理解的是，上述调制解调处理器也可以不集成到处理器1310中。
其中，处理器1310，用于对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是所述第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果；
射频单元1301，用于将所述第二感知测量结果上报给第二设备。
本申请实施例中，在根据接收到的第一信号得到与感知测量量对应的第一感知测量结果后，对该第一感知测量结果进行预处理，从而得到满足相应要求的第二感知测量结果。例如对多个资源上的第一感知测量结果进行插值处理或样值抽取处理，使得处理后的第二感知测量结果是在相应资源上对第一感知测量结果进行均匀采样得到的，使得第二感知测量结果能够满足均匀采样的上报需求，又例如，对第一感知测量结果进行合并或压缩处理，使得第二感知测量结果能够满足减少上报开销的上报需求。
可选地，所述处理器1310，用于所述第一设备获取第二设备指示的所述第一感知测 量结果的预处理信息；根据所述预处理信息，对所述第一感知测量结果进行预处理。
可选地，所述处理器1310，用于所述第一设备根据第二设备发送的目标指示信息，获取所述预处理信息；
其中，所述目标指示信息包括预处理指示信息和感知指示信息中的至少一项，所述预处理指示信息用于指示所述预处理信息，所述感知指示信息与所述预处理信息相关联。
可选地，所述预处理信息包括以下至少一项：
是否对第一感知测量结果进行预处理；
预处理启动的条件信息；
所述第一感知测量结果对应的第一参数的要求信息；
所述第二感知测量结果对应的第一参数的要求信息；
预处理方式；
与预处理方式关联的预处理参数信息；
其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
可选地，所述预处理方式包括以下至少一项：
插值处理；
样值抽取处理；
杂波抑制处理；
抑噪处理；
剔除离群值处理；
滤波处理；
合并处理；
压缩处理。
可选地，所述预处理参数信息包括以下至少一项：
第二感知测量结果对应的时域资源信息、频域资源信息或空间资源信息；
插值方式；
插值密度；
插值个数；
抽取方式；
抽取密度；
抽取个数；
杂波抑制的方式；
去除直流的窗口大小；
抑噪的算法信息；
目标信噪比SNR的门限信息；
离群值的剔除方式；
离群值的处理方式；
离群值的剔除窗口大小；
滤波方式；
滤波参数；
滤波器信息；
合并方式；
进行合并的第一感知测量结果的数量；
进行合并的第一感知测量结果的要求信息；
合并维度；
压缩方式；
压缩比例；
压缩后的数据量信息。
可选地，所述感知指示信息包括以下至少一项：
感知需求信息；
感知测量量；
根据感知测量结果得到感知结果的算法信息；
感知性能指标信息。
可选地，所述感知测量量包括以下至少一项：
原始信道信息；
信号强度信息；
谱信息；
多径信息；
角度信息；
不同天线对应信号的差别信息；
基于原始信道信息确定的目标参数信息。
可选地，所述射频单元1301，用于向第二设备发送所述预处理信息的反馈信息，所述反馈信息包括第一反馈信息或第二反馈信息，所述第一反馈信息用于指示第二设备重新指示预处理信息，所述第二反馈信息用于指示所述第二设备重新配置所述第一信号；
所述处理器1310，用于在所述反馈信息包括所述第一反馈信息的情况下，根据所述第二设备通过预处理指示信息重新指示的预处理信息，对所述第一感知测量结果进行预处理；
在所述反馈信息包括所述第二反馈信息的情况下，根据所述第二设备重新配置的第一信号，得到所述第一感知测量结果；并根据所述预处理信息对所述第一感知测量结果进行预处理。
可选地，所述射频单元1301，用于在满足目标条件的情况下，所述第一设备向所述 第二设备发送所述反馈信息；
其中，所述目标条件包括以下至少一项：
所述第一设备不支持所述预处理信息指示的预处理方式；
所述第二感知测量结果对应的第一参数不满足第二设备指示的要求信息；
所述第一感知测量结果对应的第一参数不满足第二设备指示的要求信息；
其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
可选地，所述射频单元1301，用于向第二设备发送预处理能力信息，所述预处理能力信息用于指示所述第一设备支持的预处理能力，所述预处理能力信息用于确定所述预处理信息。
可选地，所述第一信号包括以下至少一种信号类型的信号：
感知信号；
通信信号；
通感一体化信号。
本申请实施例中，在根据接收到的第一信号得到与感知测量量对应的第一感知测量结果后，对该第一感知测量结果进行预处理，从而得到满足相应要求的第二感知测量结果。例如对多个资源上的第一感知测量结果进行插值处理或样值抽取处理，使得处理后的第二感知测量结果是在相应资源上对第一感知测量结果进行均匀采样得到的，使得第二感知测量结果能够满足均匀采样的上报需求，又例如，对第一感知测量结果进行合并或压缩处理，使得第二感知测量结果能够满足减少上报开销的上报需求。
如图14所示，本申请实施例还提供了一种感知装置1400，包括：
第一获取模块1401，用于获取第一设备发送的第二感知测量结果，所述第二感知测量结果是对第一感知测量结果进行预处理之后得到的感知测量结果，所述第一感知测量结果是第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果。
可选地，本申请实施例的装置，还包括：
指示模块，用于在第一获取模块获取第一设备发送的第二感知测量结果之前，指示第一感知测量结果的预处理信息。
可选地，所述指示模块用于发送预处理指示信息和感知指示信息中的至少一项；
其中，所述预处理指示信息用于指示所述预处理信息，所述感知指示信息与所述预处理信息相关联。
可选地，所述预处理信息包括以下至少一项：
是否对第一感知测量结果进行预处理；
预处理启动的条件信息；
所述第一感知测量结果对应的第一参数的要求信息；
所述第二感知测量结果对应的第一参数的要求信息；
预处理方式；
与预处理方式关联的预处理参数信息；
其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
可选地，所述预处理方式包括以下至少一项：
插值处理；
样值抽取处理；
杂波抑制处理；
抑噪处理；
剔除离群值处理；
滤波处理；
合并处理；
压缩处理。
可选地，所述感知指示信息包括以下至少一项：
感知需求信息；
感知测量量；
根据感知测量结果得到感知结果的算法信息；
感知性能指标信息。
可选地，本申请实施例的装置，还包括：
第二获取模块，用于获取第一设备发送的所述预处理信息的反馈信息；所述反馈信息包括第一反馈信息或第二反馈信息，所述第一反馈信息用于指示第二设备重新指示预处理信息，所述第二反馈信息用于指示所述第二设备重新配置所述第一信号根据所述反馈信息，发送重新配置的第一信号或通过预处理指示信息重新指示预处理信息。
可选地，所述指示模块包括：
第二获取子模块，用于获取第一设备的预处理能力信息；
指示子模块，用于根据所述预处理能力信息，指示所述第一感知测量结果的预处理信息。
本申请实施例中，获取的第二感知测量结果是对第一感知测量结果进行预处理之后得到的感知测量结果，如对多个资源上的第一感知测量结果进行插值处理或样值抽取处理，使得处理后的第二感知测量结果是在相应资源上对第一感知测量结果进行均匀采样得到的，使得第二感知测量结果能够满足均匀采样的上报需求，又例如，对第一感知测量结果进行合并或压缩处理，使得第二感知测量结果能够满足减少上报开销的上报需求，这样，通过对第一感知测量结果进行预处理能够得到满足相应要求的第二感知测量结果。
本申请实施例还提供一种第二设备，包括处理器和通信接口，通信接口用于获取第一设备发送的第二感知测量结果，所述第二感知测量结果是对第一感知测量结果进行预处理之后得到的感知测量结果，所述第一感知测量结果是第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果。该第二设备实施例与上述第二设备侧的方法实施例 对应，上述方法实施例的各个实施过程和实现方式均可适用于该第二设备实施例中，且能达到相同的技术效果。
具体地，本申请实施例还提供了一种网络侧设备(可具体为第一设备或第二设备)。如图15所示，该网络侧设备1500包括：天线151、射频装置152、基带装置153、处理器154和存储器155。天线151与射频装置152连接。在上行方向上，射频装置152通过天线151接收信息，将接收的信息发送给基带装置153进行处理。在下行方向上，基带装置153对要发送的信息进行处理，并发送给射频装置152，射频装置152对收到的信息进行处理后经过天线151发送出去。
以上实施例中网络侧设备执行的方法可以在基带装置153中实现，该基带装置153包括基带处理器。
基带装置153例如可以包括至少一个基带板，该基带板上设置有多个芯片，如图15所示，其中一个芯片例如为基带处理器，通过总线接口与存储器155连接，以调用存储器155中的程序，执行以上方法实施例中所示的网络设备操作。
该网络侧设备还可以包括网络接口156，该接口例如为通用公共无线接口(common public radio interface，CPRI)。
具体地，本发明实施例的网络侧设备1500还包括：存储在存储器155上并可在处理器154上运行的指令或程序，处理器154调用存储器155中的指令或程序执行图11或图14所示各模块执行的方法，并达到相同的技术效果，为避免重复，故不在此赘述。
具体地，本申请实施例还提供了一种网络侧设备(可具体为第二设备)。如图16所示，该网络侧设备1600包括：处理器1601、网络接口1602和存储器1603。其中，网络接口1602例如为CPRI。
具体地，本发明实施例的网络侧设备1600还包括：存储在存储器1603上并可在处理器1601上运行的指令或程序，处理器1601调用存储器1603中的指令或程序执行图14所示各模块执行的方法，并达到相同的技术效果，为避免重复，故不在此赘述。
本申请实施例还提供一种可读存储介质，所述可读存储介质上存储有程序或指令，该程序或指令被处理器执行时实现上述感知方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
其中，所述处理器为上述实施例中所述的终端中的处理器。所述可读存储介质，包括计算机可读存储介质，如计算机只读存储器ROM、随机存取存储器RAM、磁碟或者光盘等。
本申请实施例另提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现上述感知方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
应理解，本申请实施例提到的芯片还可以称为系统级芯片，系统芯片，芯片系统或片上系统芯片等。
本申请实施例另提供了一种计算机程序产品，所述计算机程序产品被存储在存储介质中，所述计算机程序产品被至少一个处理器执行以实现上述感知方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供了一种感知系统，包括：第一设备及第二设备，所述第一设备可用于执行如上所述的第一设备侧的感知方法的步骤，所述第二设备可用于执行如上所述的第二设备侧的感知方法的步骤。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。此外，需要指出的是，本申请实施方式中的方法和装置的范围不限按示出或讨论的顺序来执行功能，还可包括根据所涉及的功能按基本同时的方式或按相反的顺序来执行功能，例如，可以按不同于所描述的次序来执行所描述的方法，并且还可以添加、省去、或组合各种步骤。另外，参照某些示例所描述的特征可在其他示例中被组合。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以计算机软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
上面结合附图对本申请的实施例进行了描述，但是本申请并不局限于上述的具体实施方式，上述的具体实施方式仅仅是示意性的，而不是限制性的，本领域的普通技术人员在本申请的启示下，在不脱离本申请宗旨和权利要求所保护的范围情况下，还可做出很多形式，均属于本申请的保护之内。

Claims (24)

  1. 一种感知方法，包括：
    第一设备对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是所述第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果；
    所述第一设备将所述第二感知测量结果上报给第二设备。
  2. 根据权利要求1所述的方法，其中，所述第一设备对第一感知测量结果进行预处理，包括：
    所述第一设备获取所述第二设备指示的所述第一感知测量结果的预处理信息；
    所述第一设备根据所述预处理信息，对所述第一感知测量结果进行预处理。
  3. 根据权利要求2所述的方法，其中，所述第一设备获取所述第二设备指示的所述第一感知测量结果的预处理信息，包括：
    所述第一设备根据所述第二设备发送的目标指示信息，获取所述预处理信息；
    其中，所述目标指示信息包括预处理指示信息和感知指示信息中的至少一项，所述预处理指示信息用于指示所述预处理信息，所述感知指示信息与所述预处理信息相关联。
  4. 根据权利要求2或3所述的方法，其中，所述预处理信息包括以下至少一项：
    是否对第一感知测量结果进行预处理；
    预处理启动的条件信息；
    所述第一感知测量结果对应的第一参数的要求信息；
    所述第二感知测量结果对应的第一参数的要求信息；
    预处理方式；
    与预处理方式关联的预处理参数信息；
    其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
  5. 根据权利要求4所述的方法，其中，所述预处理方式包括以下至少一项：
    插值处理；
    样值抽取处理；
    杂波抑制处理；
    抑噪处理；
    剔除离群值处理；
    滤波处理；
    合并处理；
    压缩处理。
  6. 根据权利要求4所述的方法，其中，所述预处理参数信息包括以下至少一项：
    第二感知测量结果对应的时域资源信息、频域资源信息或空间资源信息；
    插值方式；
    插值密度；
    插值个数；
    抽取方式；
    抽取密度；
    抽取个数；
    杂波抑制的方式；
    去除直流的窗口大小；
    抑噪的算法信息；
    目标信噪比SNR的门限信息；
    离群值的剔除方式；
    离群值的处理方式；
    离群值的剔除窗口大小；
    滤波方式；
    滤波参数；
    滤波器信息；
    合并方式；
    进行合并的第一感知测量结果的数量；
    进行合并的第一感知测量结果的要求信息；
    合并维度；
    压缩方式；
    压缩比例；
    压缩后的数据量信息。
  7. 根据权利要求3所述的方法，其中，所述感知指示信息包括以下至少一项：
    感知需求信息；
    感知测量量；
    根据感知测量结果得到感知结果的算法信息；
    感知性能指标信息。
  8. 根据权利要求1-7任一项所述的方法，其中，所述感知测量量包括以下至少一项：
    原始信道信息；
    信号强度信息；
    谱信息；
    多径信息；
    角度信息；
    不同天线对应信号的差别信息；
    基于原始信道信息确定的目标参数信息。
  9. 根据权利要求2所述的方法，其中，所述第一设备根据所述预处理信息，对所述第一感知测量结果进行预处理之前，还包括：
    所述第一设备向所述第二设备发送所述预处理信息的反馈信息，所述反馈信息包括第一反馈信息或第二反馈信息，所述第一反馈信息用于指示所述第二设备重新指示预处理信息，所述第二反馈信息用于指示所述第二设备重新配置所述第一信号；则
    所述第一设备根据所述预处理信息，对所述第一感知测量结果进行预处理，包括：
    在所述反馈信息包括所述第一反馈信息的情况下，所述第一设备根据所述第二设备通过预处理指示信息重新指示的预处理信息，对所述第一感知测量结果进行预处理；
    在所述反馈信息包括所述第二反馈信息的情况下，所述第一设备根据所述第二设备重新配置的第一信号，得到所述第一感知测量结果；并根据所述预处理信息对所述第一感知测量结果进行预处理。
  10. 根据权利要求9所述的方法，其中，所述第一设备向所述第二设备发送所述预处理信息的反馈信息，包括：
    在满足目标条件的情况下，所述第一设备向所述第二设备发送所述反馈信息；
    其中，所述目标条件包括以下至少一项：
    所述第一设备不支持所述预处理信息指示的预处理方式；
    所述第二感知测量结果对应的第一参数不满足第二设备指示的要求信息；
    所述第一感知测量结果对应的第一参数不满足第二设备指示的要求信息；
    其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
  11. 根据权利要求2所述的方法，其中，所述第一设备获取所述第二设备指示的所述第一感知测量结果的预处理信息之前，还包括：
    所述第一设备向所述第二设备发送预处理能力信息，所述预处理能力信息用于指示所述第一设备支持的预处理能力，所述预处理能力信息用于确定所述预处理信息。
  12. 根据权利要求1-11任一项所述的方法，其中，所述第一信号包括以下至少一种信号类型的信号：
    感知信号；
    通信信号；
    通感一体化信号。
  13. 一种感知方法，包括：
    第二设备获取第一设备发送的第二感知测量结果，所述第二感知测量结果是对第一感知测量结果进行预处理之后得到的感知测量结果，所述第一感知测量结果是第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果。
  14. 根据权利要求13所述的方法，其中，所述第二设备获取第一设备发送的第二感知测量结果之前，还包括：
    所述第二设备指示第一感知测量结果的预处理信息。
  15. 根据权利要求14所述的方法，其中，所述第二设备指示第一感知测量结果的预处理信息，包括：
    所述第二设备发送预处理指示信息和感知指示信息中的至少一项；
    其中，所述预处理指示信息用于指示所述预处理信息，所述感知指示信息与所述预处理信息相关联。
  16. 根据权利要求15所述的方法，其中，所述预处理信息包括以下至少一项：
    是否对第一感知测量结果进行预处理；
    预处理启动的条件信息；
    所述第一感知测量结果对应的第一参数的要求信息；
    所述第二感知测量结果对应的第一参数的要求信息；
    预处理方式；
    与预处理方式关联的预处理参数信息；
    其中，所述第一参数包括有效样点的比例信息和感知性能指标中的至少一项。
  17. 根据权利要求16所述的方法，其中，所述预处理方式包括以下至少一项：
    插值处理；
    样值抽取处理；
    杂波抑制处理；
    抑噪处理；
    剔除离群值处理；
    滤波处理；
    合并处理；
    压缩处理。
  18. 根据权利要求15所述的方法，其中，所述感知指示信息包括以下至少一项：
    感知需求信息；
    感知测量量；
    根据感知测量结果得到感知结果的算法信息；
    感知性能指标信息。
  19. 根据权利要求14所述的方法，还包括：
    所述第二设备获取第一设备发送的所述预处理信息的反馈信息；所述反馈信息包括第一反馈信息或第二反馈信息，所述第一反馈信息用于指示所述第二设备重新指示预处理信息，所述第二反馈信息用于指示所述第二设备重新配置所述第一信号；
    根据所述反馈信息，发送重新配置的第一信号或通过预处理指示信息重新指示预处理信息。
  20. 根据权利要求14所述的方法，其中，所述第二设备指示第一感知测量结果的预处理信息，包括：
    所述第二设备获取第一设备的预处理能力信息；
    所述第二设备根据所述预处理能力信息，指示所述第一感知测量结果的预处理信息。
  21. 一种感知装置，包括：
    处理模块，用于对第一感知测量结果进行预处理，得到第二感知测量结果，所述第一感知测量结果是第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果；
    上报模块，用于将所述第二感知测量结果上报给第二设备。
  22. 一种感知装置，包括：
    第一获取模块，用于获取第一设备发送的第二感知测量结果，所述第二感知测量结果是对第一感知测量结果进行预处理之后得到的感知测量结果，所述第一感知测量结果是第一设备根据接收到的第一信号得到的与感知测量量对应的感知测量结果。
  23. 一种通信设备，包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如权利要求1至12任一项所述的感知方法的步骤，或者，实现如权利要求13至20任一项所述的感知方法的步骤。
  24. 一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如权利要求1至12任一项所述的感知方法的步骤，或者，实现如权利要求13至20任一项所述的感知方法的步骤。
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2025025230A1 (zh) * 2023-08-03 2025-02-06 Oppo广东移动通信有限公司 通信方法、装置、设备、存储介质、芯片、产品及程序
WO2025113267A1 (zh) * 2023-11-30 2025-06-05 华为技术有限公司 通信方法、装置及计算机可读存储介质
WO2025213604A1 (en) * 2024-04-08 2025-10-16 Huawei Technologies Co., Ltd. Methods and apparatuses for communication

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116743788A (zh) * 2022-03-03 2023-09-12 腾讯科技（深圳）有限公司 感知数据获取方法、装置及感知数据上报方法、装置
US12279190B1 (en) * 2022-06-29 2025-04-15 Amazon Technologies, Inc. Respiration monitoring based on noisy channel state information (CSI) data
CN117692920A (zh) * 2022-09-05 2024-03-12 维沃移动通信有限公司 信息处理方法、装置及通信设备
CN116760521A (zh) * 2023-07-26 2023-09-15 中国联合网络通信集团有限公司 感知方法、装置及存储介质
CN120224250A (zh) * 2023-12-27 2025-06-27 维沃移动通信有限公司 信息传输方法、装置及通信设备
CN120455926A (zh) * 2024-02-06 2025-08-08 华为技术有限公司 通信方法、装置及系统
CN121751188A (zh) * 2024-09-26 2026-03-27 维沃移动通信有限公司 数据传输方法、装置及相关设备
CN121751255A (zh) * 2024-09-26 2026-03-27 维沃移动通信有限公司 数据传输方法、装置、第一设备及第二设备

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1340984A (zh) * 2000-08-29 2002-03-20 华为技术有限公司 全球移动通信系统中测量信息的处理方法
CN101656981A (zh) * 2009-09-18 2010-02-24 中兴通讯股份有限公司 小区测量调度的控制方法及移动终端
CN101959231A (zh) * 2009-07-15 2011-01-26 联发科技股份有限公司 通信装置及信号处理方法
CN111510948A (zh) * 2017-09-07 2020-08-07 Oppo广东移动通信有限公司 信号上报的方法、终端设备和网络设备

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109085545B (zh) * 2018-06-28 2023-03-21 西安电子科技大学 基于fista的压缩感知信号实时重构方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1340984A (zh) * 2000-08-29 2002-03-20 华为技术有限公司 全球移动通信系统中测量信息的处理方法
CN101959231A (zh) * 2009-07-15 2011-01-26 联发科技股份有限公司 通信装置及信号处理方法
CN101656981A (zh) * 2009-09-18 2010-02-24 中兴通讯股份有限公司 小区测量调度的控制方法及移动终端
CN111510948A (zh) * 2017-09-07 2020-08-07 Oppo广东移动通信有限公司 信号上报的方法、终端设备和网络设备

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP4451731A4 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2025025230A1 (zh) * 2023-08-03 2025-02-06 Oppo广东移动通信有限公司 通信方法、装置、设备、存储介质、芯片、产品及程序
WO2025113267A1 (zh) * 2023-11-30 2025-06-05 华为技术有限公司 通信方法、装置及计算机可读存储介质
WO2025213604A1 (en) * 2024-04-08 2025-10-16 Huawei Technologies Co., Ltd. Methods and apparatuses for communication

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