WO2015192474A1 - 一种随机接入信号的检测方法、装置和系统 - Google Patents

一种随机接入信号的检测方法、装置和系统 Download PDF

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Publication number
WO2015192474A1
WO2015192474A1 PCT/CN2014/085340 CN2014085340W WO2015192474A1 WO 2015192474 A1 WO2015192474 A1 WO 2015192474A1 CN 2014085340 W CN2014085340 W CN 2014085340W WO 2015192474 A1 WO2015192474 A1 WO 2015192474A1
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Prior art keywords
peak detection
sequence
random access
interference cancellation
detection sequence
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English (en)
French (fr)
Inventor
王雯芳
王绍鹏
秦洪峰
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ZTE Corp
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ZTE Corp
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Priority to EP14895169.2A priority Critical patent/EP3160207B1/en
Priority to US15/319,950 priority patent/US10033559B2/en
Priority to JP2016573886A priority patent/JP6437577B2/ja
Publication of WO2015192474A1 publication Critical patent/WO2015192474A1/zh
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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2649—Demodulators
    • H04L27/265—Fourier transform demodulators, e.g. fast Fourier transform [FFT] or discrete Fourier transform [DFT] demodulators
    • H04L27/2651—Modification of fast Fourier transform [FFT] or discrete Fourier transform [DFT] demodulators for performance improvement
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023—Interference mitigation or co-ordination
    • H04J11/0026—Interference mitigation or co-ordination of multi-user interference
    • H04J11/0036—Interference mitigation or co-ordination of multi-user interference at the receiver
    • H04J11/004—Interference mitigation or co-ordination of multi-user interference at the receiver using regenerative subtractive interference cancellation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/022—Channel estimation of frequency response
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/08—Modifications for reducing interference; Modifications for reducing effects due to line faults ; Receiver end arrangements for detecting or overcoming line faults
    • H04L25/085—Arrangements for reducing interference in line transmission systems, e.g. by differential transmission
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2662—Symbol synchronisation
    • H04L27/2663—Coarse synchronisation, e.g. by correlation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access
    • H04W74/08—Non-scheduled access, e.g. ALOHA
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access
    • H04W74/08—Non-scheduled access, e.g. ALOHA
    • H04W74/0833—Random access procedures, e.g. with 4-step access

Definitions

  • the present invention relates to the field of mobile communications technologies, and in particular, to a method, an apparatus, and a system for detecting a random access signal.
  • LTE Long Term Evolution
  • a mobile terminal first performs downlink synchronization through a synchronization channel (SCH) to determine a radio frame, a reception start point of a subframe, and a cell number ( Cell ID); Then, the system information is obtained by detecting a broadcast channel (BCH), which includes configuration information of a Random Access Channel (RACH); and finally random access transmitted through the RACH.
  • BCH broadcast channel
  • RACH Random Access Channel
  • the signal is uplink synchronized to complete the work of the access system.
  • the location of the RACH is found based on the radio frame and the reception start point of the subframe determined at the same time, and the starting point of the uplink random access preamble is determined, and then randomly selected from the available sequences.
  • the uplink random access preamble is selected as a random access signal.
  • the base station detects the uplink random access preamble to determine the timing adjustment amount of the uplink synchronization, and sends the timing adjustment amount to the mobile terminal, and the mobile terminal adjusts the transmission time of the uplink signal according to the timing adjustment amount, so as to implement time synchronization of the uplink channel. .
  • the uplink random access preamble in the existing LTE system is generated by one or more ZC (Zadoff-Chu) root sequences.
  • the length of the ZC root sequence is 7 839 in the format 0-3 mode and 139 in the format 4 mode.
  • Each cell (Cell) has 64 sequences for generating uplink random access preambles, which may be different cyclic shift sequences from the same root sequence, or cyclic shifts from different root sequences.
  • the ZC root sequence is a Constant Amplitude Zero Auto-correlation Code (CAZAC), and its correlation has the following characteristics:
  • the correlation between different cyclic sequences of the same root sequence is 0;
  • the correlation between the root sequences (including their cyclic shift sequences) is 1 /, / ⁇ , that is, the correlation between the uplink random access preamble of the random access signal and the remaining sequences is very small, and can be regarded as approximately equal to zero.
  • the uplink random access preamble of the random access signal has the highest correlation with the sequence generating the preamble. Therefore, the uplink random access preamble of the random access signal and the correlation of all sequences can be utilized for the random access signal at the time.
  • the method of line detection determines the random access preamble sent by the terminal, and further obtains the timing adjustment amount of the uplink, and implements time synchronization of the uplink channel.
  • the existing random access signal detection method there is a problem that the missed detection or the false detection index is high in the interference environment.
  • the peak value of the signal in the existing random access signal detection method will be submerged in the interference and noise, leading to missed detection; at the same time, due to the influence of the interference, the wrong peak is detected, resulting in False inspection.
  • the large signal interferes with the small signal in the local area, which increases the possibility of missed detection of the large signal.
  • Some existing methods for serial interference cancellation first subtract the reconstructed interference signal from the received random access signal, and then perform detection. Each time a useful signal is detected, it is received from the received random access signal. Subtract the reconstructed useful signal and continue the test. In this method, the interference signal is known first, and the requirements on the system are relatively high. Secondly, multiple reconstructions are required, and the occupied resources are large, and the calculation amount is also very large, which is difficult to implement and apply.
  • the prior art has at least the following disadvantages: The detection method of the random access signal does not consider the influence of interference, and there is a problem of high missed detection or false detection index in the environment with neighboring interference signals, and the system requirements are compared. High, occupying large resources, difficult to implement and apply.
  • the present invention provides a method, apparatus, and system for detecting a random access signal, which are used to eliminate the deterioration of the missed detection performance and the false alarm performance caused by interference.
  • the present invention discloses a method for detecting a random access signal, the method comprising: determining a temporary peak detection sequence according to the received time domain random access signal; and frequency domain corresponding to the search window in the temporary peak detection sequence
  • the cyclic shift sequence determines an interference cancellation weight, performs interference cancellation on the temporary peak detection sequence according to the interference cancellation weight, and obtains a final peak detection sequence; and performs peak detection on the final peak detection sequence.
  • the present invention discloses a detecting apparatus for a random access signal, the apparatus comprising: an acquiring module, configured to determine a temporary peak detecting sequence according to the received time domain random access signal; and the interference canceling module is set to Determining an interference cancellation weight according to a frequency domain cyclic shift sequence corresponding to the search window in the temporary peak detection sequence, and performing interference cancellation on the temporary peak detection sequence according to the interference cancellation weight to obtain a final peak detection sequence; the detection module is set to Peak detection of the final peak detection sequence
  • the method, device and system for detecting a random access signal disclosed in the present invention are configured to receive a time domain random access signal, obtain a temporary peak detection sequence, and perform a frequency domain cyclic shift sequence corresponding to the search window in the temporary peak detection sequence.
  • FIG. 1 is a schematic flowchart of a method for detecting a random access signal according to the present invention
  • FIG. 2 is a schematic flowchart of a method for detecting a power peak combination of a final peak detection sequence in a repeated format according to an embodiment of the present invention
  • FIG. 4 is a schematic diagram of a detection apparatus for random access signals according to the present invention
  • FIG. 5 is a final peak of a repeated format according to an embodiment of the present invention
  • FIG. 6 is a schematic structural diagram of a detection system for a random access signal according to the present invention.
  • Embodiment 1 is as shown in FIG. 1 , which is a method for detecting a random access signal according to the present invention.
  • Step 101 A base station determines a temporary peak detection sequence base station according to a received time domain random access signal.
  • a temporary peak detection sequence is determined based on the received time domain random access signal.
  • the temporary peak detection sequence may be a temporary peak detection sequence of the local root sequence or a temporary peak detection sequence of the cyclic shift sequence, but when the temporary peak detection sequence of the cyclic shift sequence is used, the calculation amount is large under multi-user conditions. Therefore, a temporary peak detection sequence of the local root sequence is preferred.
  • the specific process for determining the temporary peak detection sequence can be:
  • the station receives the time domain random access signal and performs Fast Fourier Transform (FFT) processing to transform the random access signal from the time domain to the frequency domain, and the frequency domain random access signal and the local root sequence or cycle.
  • FFT Fast Fourier Transform
  • the frequency domain value of the shifted sequence is conjugated by a conjugate point, and then subjected to inverse fast Fourier transform (IFFT) processing to transform the RACH signal from the frequency domain to the time domain to obtain a temporary peak detection sequence.
  • IFFT inverse fast Fourier transform
  • other methods can be used to obtain the temporary peak detection sequence, which are not enumerated here.
  • Step 102 The base station determines an interference cancellation weight for the frequency domain cyclic shift sequence corresponding to the search window in the temporary peak detection sequence, and performs interference cancellation on the temporary peak detection sequence to obtain a final peak detection sequence.
  • the specific process of the step may be: And performing an interference cancellation weight value on the frequency domain cyclic shift sequence corresponding to the search window in the temporary peak detection sequence, performing weighted combining on the temporary peak detection sequence according to the interference cancellation weight value, and then performing square moduli, A final peak detection sequence is obtained.
  • M be the number of receiving antennas
  • N the number of subcarriers
  • S is the frequency domain local cyclic shift sequence
  • Y the frequency domain random access signal before interference cancellation
  • Z the temporary peak detection sequence, which is the final peak detection sequence.
  • the specific method of interference cancellation may be as shown in the following formula (1) (2).
  • Step 103 The base station performs peak detection on the final peak detection sequence.
  • the specific process of the peak detection may be: performing noise mean estimation on the final peak detection sequence, determining a signal detection threshold according to the estimated value, and then determining a current frequency.
  • the domain cyclic shift sequence that is, the frequency domain local cyclic shift sequence used in the weight estimation in step 102, detects signals in the corresponding search window, and filters signals exceeding the detection threshold. Steps 102 through 103 are repeated until all cyclic shift sequences of all root sequences have been processed.
  • the random access signal is a random access signal in a repeated format
  • the method includes the following steps as shown in FIG. 2: Step 201: Same as step 101; Step 202: Same as step 102
  • the specific process of power combining and peak detection may be: performing power combining on the repeated two-part final peak detection sequence, performing noise average estimation on the combined peak detection sequence, and obtaining a signal detection threshold according to the estimated value. Then, the signal in the search window corresponding to the current frequency domain cyclic shift sequence is detected, and the signal exceeding the detection threshold is filtered.
  • the method of power combining may be equal gain combining, or may be maximum ratio combining.
  • Embodiment 3 is another method for detecting a random access signal. As shown in FIG. 3, the method includes the following steps: Step 301: Same as Step 101; Step 302: Similar to Step 102, except that the All the frequency domain cyclic shift sequences corresponding to all the search windows in the temporary peak detection sequence are all calculated with interference cancellation weights, and the signals in all the search windows in the temporary peak detection sequence are respectively weighted and combined according to the interference cancellation weights Then, the modulus is squared to obtain the final peak detection sequence.
  • Step 303 Similar to step 103, the current frequency domain cyclic shift sequence is all frequency domain cyclic shift sequences used in step 302 for calculating interference cancellation weights. Steps 302 through 303 are repeated until all cyclic shift sequences of all root sequences have been processed. From the above description, it can be seen that, according to the method provided by the embodiment of the present invention, interference cancellation is performed on the temporary peak detection sequence by using the interference cancellation weight, so as to improve the missed detection performance and the virtual access signal The purpose of police performance. At the same time, it can also improve the missed detection performance of small signals in the coexistence of large and small signals in this area, thereby further Improve system performance.
  • the method provided by the embodiment of the present invention does not need the neighboring area interference signal feature, and does not need to reconstruct the neighboring area interference signal and the local area interference signal, but directly implements interference cancellation, so the calculation amount is small, and resources are saved.
  • the embodiment of the present invention further provides a detecting apparatus for a random access signal, and the structure thereof is as shown in FIG. 4, which specifically includes: an obtaining module 401, configured to determine a temporary peak according to the received time domain random access signal.
  • the interference cancellation module 402 is configured to determine an interference cancellation weight for the frequency domain cyclic shift sequence corresponding to the search window in the temporary peak detection sequence, and perform interference cancellation on the temporary peak detection sequence according to the interference cancellation weight , a final peak detection sequence is obtained; a detection module 403 is configured to perform peak detection on the final peak detection sequence.
  • the obtaining module 401 may further include: a time-frequency transform sub-module, configured to perform FFT transformation on the received time-domain random access signal to obtain a frequency domain random access signal; and a cross-correlation sub-module configured to The frequency domain random access signal is multiplied by a frequency domain value conjugate point of the local root sequence or the cyclic shift sequence; the frequency time transform submodule is configured to perform an IFFT transform on the output result of the cross correlation submodule to obtain temporary peak detection. sequence.
  • a time-frequency transform sub-module configured to perform FFT transformation on the received time-domain random access signal to obtain a frequency domain random access signal
  • a cross-correlation sub-module configured to The frequency domain random access signal is multiplied by a frequency domain value conjugate point of the local root sequence or the cyclic shift sequence
  • the frequency time transform submodule is configured to perform an IFFT transform on the output result of the cross correlation submodule to obtain temporary peak detection. sequence.
  • the interference cancellation module 402 may further include: a weight acquisition submodule, configured to determine an interference cancellation weight for the frequency domain cyclic shift sequence corresponding to the search window in the temporary peak detection sequence; The temporary peak detection sequence is weighted and combined according to the output result of the weight acquisition sub-module, and then the square is obtained, thereby obtaining a final peak detection sequence.
  • the detecting module 403 further includes a merging sub-module, and the merging sub-module is configured to: when the random access signal is a random access signal in a repeated format, the two parts corresponding to each other are duplicated. The peak detection sequence performs power combining.
  • the apparatus acquires a temporary peak detection sequence according to a time domain random access signal, and performs frequency domain cyclic shift corresponding to the search window in the temporary peak detection sequence.
  • the sequence calculates the interference cancellation weight, performs weighted combining on the temporary peak detection sequence, and implements interference cancellation, so as to improve the missed detection performance and false alarm performance of the random access signal.
  • it can also improve the missed detection performance of small signals in the coexistence of large and small signals in this area, thereby further improving the performance of the system.
  • the method provided by the embodiment of the present invention does not need the neighboring area interference signal feature, and does not need to reconstruct the neighboring area interference signal and the local area interference signal, but directly implements interference cancellation, so the calculation amount is small, and resources are saved. Conducive to the realization of the system.
  • the embodiment of the present invention further provides a detection system for a random access signal, as shown in FIG.
  • the base station 602 includes: a detecting device 6021 for a random access signal; the device is configured to receive a time domain random access signal, obtain a temporary peak detecting sequence, and perform a frequency domain cyclic shift sequence corresponding to the search window in the temporary peak detecting sequence Calculating the interference cancellation weight, performing interference cancellation on the temporary peak detection sequence, and obtaining a final peak detection sequence; performing peak detection on the final peak detection sequence;
  • the random access signal detecting device 6021 includes: An acquiring module, configured to determine a temporary peak detection sequence according to the received time domain random access signal; and an interference cancellation module configured to determine an interference cancellation weight for the frequency domain cyclic shift sequence corresponding to the search window in the temporary peak detection sequence And performing interference cancellation on the temporary peak detection sequence according to the interference cancellation weight, and finally obtaining Detection sequence value; detecting module, set the final peak detector detecting a peak sequence.
  • the method and apparatus acquires a temporary peak detection sequence according to a time domain random access signal, and a frequency domain loop corresponding to the search window in the temporary peak detection sequence.
  • the shift sequence is used to calculate an interference cancellation weight
  • the temporary peak detection sequence is weighted and combined to obtain a temporary peak detection sequence after interference cancellation, thereby realizing interference cancellation, so as to improve the missed detection performance and false alarm of the random access signal.
  • the purpose of performance At the same time, it can also improve the missed detection performance of small signals in the coexistence of large and small signals in this area, thereby further improving the performance of the system.
  • the method provided by the embodiment of the present invention does not need the neighboring area interference signal feature, and does not need to reconstruct the neighboring area interference signal and the local area interference signal, but directly implements interference cancellation, so the calculation amount is small, and resources are saved. Conducive to the realization of the system.
  • the technical means and functions of the present invention for achieving the intended purpose can be more deeply and specifically understood by the description of the specific embodiments.
  • the accompanying drawings are only for the purpose of illustration and description, and are not intended to limit. At the same time, in the case of no conflict, the features in the embodiments and the embodiments can be combined with each other.
  • Those skilled in the art will appreciate that embodiments of the present invention can be provided as a method, or a computer program product.
  • the present invention can take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware aspects.
  • the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.
  • the present invention has been described with reference to flowchart illustrations and/or block diagrams of methods and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG.
  • These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device.
  • the computer program instructions can also be stored in a computer readable memory operable in a particular manner by a computer or other programmable data processing device, such that instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the instruction means implements the functions specified in one or more blocks of the flow or in a flow or block diagram of the flowchart.
  • the method provided by the embodiment of the present invention does not need the neighboring area interference signal feature, and does not need to reconstruct the neighboring area interference signal and the local area interference signal, but directly implements interference cancellation, so the calculation amount is small, and resources are saved. Conducive to the realization of the system.

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
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  • Discrete Mathematics (AREA)
  • General Physics & Mathematics (AREA)
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Abstract

本发明公开了一种随机接入信号的检测方法，所述方法包括：根据接收到的时域随机接入信号确定临时峰值检测序列；对所述临时峰值检测序列中搜索窗对应的频域循环移位序列确定干扰消除权值，根据所述干扰消除权值对临时峰值检测序列进行干扰消除，得到最终峰值检测序列；对所述最终峰值检测序列进行峰值检测。同时公开了一种随机接入信号的检测装置和系统。

Description

一种随机接入信号的检测方法、 装置和系统 技术领域 本发明涉及移动通信技术领域， 特别涉及一种随机接入信号的检测方法、 装置和 系统。 背景技术 在长期演进 （Long Term Evolution, 简称为 LTE) 系统中， 移动终端开机之后首 先通过同步信道（synchronization Channel, 简称为 SCH)进行下行同步， 确定无线帧、 子帧的接收起点及小区号 （Cell ID); 然后通过检测广播信道 （Broadcast Channel, 简 称为 BCH) 获取系统信息， 该系统信息包括随机接入信道 （Random Access Channel, 简称为 RACH) 的配置信息； 最后通过 RACH传送的随机接入信号进行上行同步， 完 成接入系统的工作。 在移动终端上行同步的过程中， 首先以下行同歩时确定的无线帧及子帧的接收起 点为基础找到 RACH的位置， 并确定发送上行随机接入前导的起点， 然后从可用的序 列中随机的选择一条作为随机接入信号的上行随机接入前导发送。 基站对上行随机接 入前导进行检测， 以确定上行同步的定时调整量， 并将其发送给移动终端， 移动终端 根据该定时调整量对上行信号的发送时刻进行调整， 以实现上行信道的时间同步。 现有 LTE系统中的上行随机接入前导由一个或多个 ZC(Zadoff-Chu)根序列产生。 第 u个 ZC根序列定义为 X" (") = e ' 0≤"≤Λ^ _ 1。其中， ZC根序列的长7^ 在 format 0-3模式下是 839， format 4模式下是 139。 每个小区 （Cell)有 64条用于产 生上行随机接入前导的序列，该 64条序列既可以是来自同一个根序列的不同循环移位 序列， 也可以是来自不同根序列的循环移位序列。 ZC 根序列是恒幅零自相关序列 (Constant Amplitude zero Auto-correlation Code，简称 CAZAC),其相关性有如下特点： 相同的根序列的不同循环序列之间的相关性为 0; 不同的根序列 （包括其彼此的循环 移位序列） 的相关性是1 /、/^， 即随机接入信号的上行随机接入前导与其余序列之间 的相关性非常小， 可以视为近似等于零， 而随机接入信号的上行随机接入前导与产生 该前导的序列的相关性最大。 因此， 可以利用随机接入信号的上行随机接入前导跟所 有序列的相关性对随机接入信号在时域进行检测的方法来判断终端所发送的随机接入 前导， 进而获得上行的定时调整量， 实现上行信道的时间同步。 现有的随机接入信号检测方法， 在干扰环境中存在漏检或虚检指标较高的问题。 在有较大的邻区干扰时， 现有的随机接入信号检测方法中的信号峰值会淹没在干扰和 噪声中， 导致漏检； 同时也会因为干扰的影响， 检测到错误的峰值， 导致虚检。 另外， 当本区有大小功率信号共存时， 大信号相对于小信号为本区干扰， 会加大小信号的漏 检可能性。 现有的一些串行干扰消除的方法， 先从接收到的随机接入信号中减去重构 的干扰信号， 再进行检测， 每检测出一个有用信号， 就从接收到的随机接入信号中再 减去重构的有用信号， 再继续进行检测。 这种方法首先要已知干扰信号， 对系统的要 求比较高； 其次需要多次重构， 占用的资源较大， 运算量也非常大， 难以实现和应用。 总之， 现有技术至少存在以下缺点： 随机接入信号的检测方法， 没有考虑干扰的 影响， 在有邻区干扰信号的环境中存在漏检或虚检指标较高的问题， 同时对系统要求 比较高， 占用的资源较大， 难以实现和应用。 发明内容 本发明提供了一种随机接入信号的检测方法、 装置和系统， 用以消除干扰造成的 漏检性能和虚警性能的恶化。 一方面本发明公开了一种随机接入信号的检测方法， 该方法包括： 根据接受到的时域随机接入信号确定临时峰值检测序列； 对所述临时峰值检测序列中搜索窗对应的频域循环移位序列确定干扰消除权值， 根据所述干扰消除权值对临时峰值检测序列进行干扰消除， 得到最终峰值检测序列； 对所述最终峰值检测序列进行峰值检测。
另一方面本发明公开了一种随机接入信号的检测装置， 该装置包括： 获取模块， 设置为根据接收到的时域随机接入信号确定临时峰值检测序列； 干扰消除模块， 设置为对所述临时峰值检测序列中搜索窗对应的频域循环移位序 列确定干扰消除权值， 并根据所述干扰消除权值对临时峰值检测序列进行干扰消除， 得到最终峰值检测序列； 检测模块， 设置为对所述最终峰值检测序列进行峰值检 本发明公开的随机接入信号的检测方法、 装置和系统， 设置为接收时域随机接入 信号， 获取临时峰值检测序列； 对所述临时峰值检测序列中搜索窗对应的频域循环移 位序列， 计算干扰消除权值， 对所述临时峰值检测序列干扰消除， 得到最终峰值检测 序列； 对所述最终峰值检测序列进行峰值检测。 本发明公开的方法和装置可以消除随 机接入信号检测时干扰造成的漏检性能和虚警性能的恶化， 提高检测的准确度， 节约 资源。 附图说明 图 1为本发明随机接入信号的检测方法流程示意图； 图 2为本发明实施例为对重复格式的最终峰值检测序列先进行功率合并的检测方 法流程示意图； 图 3为本发明实施例为对临时峰值检测序列中多个搜索窗一起进行干扰消除的检 测方法流程示意图； 图 4为本发明随机接入信号的检测装置示意图； 图 5为本发明实施例中对重复格式的最终峰值检测序列先进行功率合并的装置示 意图； 图 6为本发明随机接入信号的检测系统结构示意图。 具体实施方式 下面结合各个附图对本发明公开的技术方案的主要实现原理、 具体实施方式及其 能够达到的有益效果进行详细地阐述。 实施例 1如图 1所示， 为本发明提供的一种随机接入信号的检测方法， 该方法包 括以下步骤： 步骤 101、 基站根据接收到的时域随机接入信号确定临时峰值检测序列 基站根据接收到的时域随机接入信号确定临时峰值检测序列。 该临时峰值检测序 列可以为本地根序列的临时峰值检测序列， 也可以为循环移位序列的临时峰值检测序 列， 但是使用循环移位序列的临时峰值检测序列时， 多用户条件下运算量较大， 所以 优选本地根序列的临时峰值检测序列。 确定临时峰值检测序列的具体过程可以为： 基 站将接收到的时域随机接入信号经过快速傅立叶变换 （Fast Fourier Transform, 简称 FFT) 处理将随机接入信号由时域变换到频域， 将频域随机接入信号与本地根序列或 循环移位序列的频域值共轭点乘， 然后再经过反快速傅立叶变换 （Inverse Fast Fourier Transform, 简称为 IFFT) 处理将 RACH信号由频域变换到时域， 得到临时峰值检测 序列。 当然， 还可以使用其他方式获取到临时峰值检测序列， 在此不一一列举。 步骤 102、 基站对所述临时峰值检测序列中搜索窗对应的频域循环移位序列确定 干扰消除权值， 对临时峰值检测序列进行干扰消除， 得到最终峰值检测序列 该步骤的具体过程可以为： 对所述临时峰值检测序列中搜索窗对应的频域循环移 位序列， 依次计算干扰消除权值， 根据所述干扰消除权值对所述临时峰值检测序列进 行加权合并， 再求模平方， 从而得到最终峰值检测序列。 设 M为接收天线个数； N是子载波数， S是频域本地循环移位序列， Y是干扰消 除前的频域随机接入信号， Z 是临时峰值检测序列， 是最终峰值检测序列， 则干扰 消除具体方法可以为如下公式 (1)(2)所示。
Figure imgf000006_0001
其中， ^ = {¾^ } RYY = E^YH } ^表示频域随机接入信号和频域本地循环移 位序列的互相关协方差矩阵， RYY表示频域随机接入信号的自相关协方差矩阵, 的维 数为 l x N， Y的维数为 M x N， Z的维数为 M x N， 的维数为 l x N。 步骤 103、 基站对所述最终峰值检测序列进行峰值检测 其中， 峰值检测的具体过程可以为：对所述最终峰值检测序列进行噪声均值估计， 并根据该估计值确定信号检测门限， 然后对当前频域循环移位序列， 即步骤 102中进 行权值估计时所采用的频域本地循环移位序列， 对应的搜索窗内的信号进行检测， 并 对超过检测门限的信号进行筛选。 重复步骤 102〜步骤 103， 直到所有根序列的所有循环移位序列都处理完毕。 从以上的描述中， 可以看出通过本发明实施例提供的方法， 可以克服现有串行干 扰消除算法需要已知干扰信号， 并且需要多次重构， 运算量太大的缺点， 实现消除随 的功能。
实施例 2是当随机接入信号为重复格式的随机接入信号时， 可以采用如下方法， 该方法如图 2所示包括如下步骤： 步骤 201、 与步骤 101相同； 步骤 202、 与步骤 102相同； 步骤 203、 基站对所述最终峰值检测序列进行功率合并和峰值检测。 其中， 功率合并和峰值检测的具体过程可以为： 将重复的两部分对应的最终峰值 检测序列先进行功率合并， 再对合并后的峰值检测序列进行噪声均值估计， 并根据估 计值得到信号检测门限， 然后对当前频域循环移位序列对应的搜索窗内的信号进行检 测， 并对超过检测门限的信号进行筛选。 其中， 功率合并的方法可以是等增益合并， 也可以是最大比合并等。 重复步骤 202〜步骤 203， 直到所有根序列的所有循环移位序列都处理完毕。 实施例 3是另一种随机接入信号的检测方法， 如图 3所示，该方法包括以下步骤: 步骤 301、 与步骤 101相同； 步骤 302、 与步骤 102类似， 不同之处在于对所述临时峰值检测序列中所有搜索 窗对应的频域循环移位序列， 全部都计算干扰消除权值， 根据所述干扰消除权值对所 述临时峰值检测序列中所有搜索窗内的信号分别进行加权合并， 再求模平方， 从而得 到最终峰值检测序列。 步骤 303、 与步骤 103类似， 此时所述当前频域循环移位序列为步骤 302中用于 计算干扰消除权值的所有频域循环移位序列。 重复步骤 302〜步骤 303， 直到所有根序列的所有循环移位序列都处理完毕。 从以上的描述中， 可以看出， 根据本发明实施例提出的方法， 用所述干扰消除权 值， 对所述临时峰值检测序列干扰消除， 以达到提高随机接入信号的漏检性能和虚警 性能的目的。 同时， 还可以提高本区大小信号共存时小信号的漏检性能， 从而进一步 改善系统的性能。 另外， 由于本发明实施例提供的方法不需要邻区干扰信号特征， 也 不需要重构邻区干扰信号和本区干扰信号， 而是直接实现干扰消除， 因此运算量小， 节省了资源， 有利于系统的实现。 相应的， 本发明实施例还提供了一种随机接入信号的检测装置， 其结构如图 4所 示， 具体包括： 获取模块 401， 设置为根据接收到的时域随机接入信号确定临时峰值检测序列； 干扰消除模块 402， 设置为对所述临时峰值检测序列中搜索窗对应的频域循环移 位序列确定干扰消除权值， 并根据所述干扰消除权值对临时峰值检测序列进行干扰消 除， 得到最终峰值检测序列； 检测模块 403， 设置为对所述最终峰值检测序列进行峰值检测。 较佳的， 该获取模块 401还可以包括： 时频变换子模块， 设置为对接收到的时域随机接入信号进行 FFT变换， 得到频域 随机接入信号； 互相关子模块， 设置为将所述频域随机接入信号与本地根序列或循环移位序列的 频域值共轭点乘； 频时变换子模块，设置为将互相关子模块的输出结果进行 IFFT变换，得到临时峰 值检测序列。 较佳的， 该干扰消除模块 402还可以包括： 权值获取子模块， 设置为对所述临时峰值检测序列中搜索窗对应的频域循环移位 序列确定干扰消除权值； 运算子模块， 设置为根据权值获取子模块的输出结果对所述临时峰值检测序列进 行加权合并， 再求模平方， 从而得到最终峰值检测序列。 较佳的， 如图 5所示该检测模块 403还可以包括合并子模块， 所述合并子模块设 置为当随机接入信号是重复格式的随机接入信号时， 将重复的两部分对应的最终峰值 检测序列进行功率合并。 从以上的描述中， 可以看出， 根据本发明实施例提出的装置， 根据时域随机接入 信号， 获取临时峰值检测序列， 对所述临时峰值检测序列中搜索窗对应的频域循环移 位序列， 计算干扰消除权值， 对所述临时峰值检测序列进行加权合并， 实现干扰消除， 以达到提高随机接入信号的漏检性能和虚警性能的目的。 同时， 还可以提高本区大小 信号共存时小信号的漏检性能， 从而进一步改善系统的性能。 另外， 由于本发明实施 例提供的方法不需要邻区干扰信号特征，也不需要重构邻区干扰信号和本区干扰信号， 而是直接实现干扰消除， 因此运算量小， 节省了资源， 有利于系统的实现。 相应的， 本发明实施例还提供了一种随机接入信号的检测系统， 如图 6所示， 包 括终端 601和基站 602， 该终端 601设置为向所述基站 602发送随机接入信号； 该基 站 602， 包括： 随机接入信号的检测装置 6021 ; 该装置设置为接收时域随机接入信号， 获取临时峰值检测序列；对所述临时峰值检测序列中搜索窗对应的频域循环移位序列， 计算干扰消除权值， 对所述临时峰值检测序列干扰消除， 得到最终峰值检测序列； 并 对所述最终峰值检测序列进行峰值检测； 较佳的， 该随机接入信号的检测装置 6021包括： 获取模块， 设置为根据接收到的时域随机接入信号确定临时峰值检测序列； 干扰消除模块， 设置为对所述临时峰值检测序列中搜索窗对应的频域循环移位序 列确定干扰消除权值， 并根据所述干扰消除权值对临时峰值检测序列进行干扰消除， 得到最终峰值检测序列； 检测模块， 设置为对所述最终峰值检测序列进行峰值检测。 从以上的描述中， 可以看出， 根据本发明实施例提出的方法和装置， 根据时域随 机接入信号， 获取临时峰值检测序列， 对所述临时峰值检测序列中搜索窗对应的频域 循环移位序列， 计算干扰消除权值， 对所述临时峰值检测序列进行加权合并， 从而得 到干扰消除后的临时峰值检测序列， 实现干扰消除， 以达到提高随机接入信号的漏检 性能和虚警性能的目的。 同时， 还可以提高本区大小信号共存时小信号的漏检性能， 从而进一步改善系统的性能。 另外， 由于本发明实施例提供的方法不需要邻区干扰信 号特征， 也不需要重构邻区干扰信号和本区干扰信号， 而是直接实现干扰消除， 因此 运算量小， 节省了资源， 有利于系统的实现。 通过具体实施方式的说明， 应当可对本发明为达成预定目的所采取的技术手段及 功效得以更加深入且具体的了解， 然而所附图示仅是提供参考与说明之用， 并非用来 对本发明加以限制。 同时在不冲突的情况下， 实施例和实施例中的特征可以相互组合。 本领域内的技术人员应明白，本发明的实施例可提供为方法、或计算机程序产品。 因此， 本发明可采用硬件实施例、 软件实施例、 或结合软件和硬件方面的实施例的形 式。 而且， 本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用 存储介质 （包括但不限于磁盘存储器和光学存储器等） 上实施的计算机程序产品的形 式。 本发明是参照根据本发明实施例的方法和计算机程序产品的流程图和 /或方框图 来描述的。 应理解可由计算机程序指令实现流程图和 /或方框图中的每一流程和 /或方 框、以及流程图和 /或方框图中的流程和 /或方框的结合。可提供这些计算机程序指令到 通用计算机、 专用计算机、 嵌入式处理机或其他可编程数据处理设备的处理器以产生 一个机器， 使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于 实现在流程图一个流程或多个流程和 /或方框图一个方框或多个方框中指定的功能的 装置。 这些计算机程序指令也可存储在能弓 I导计算机或其他可编程数据处理设备以特定 方式工作的计算机可读存储器中， 使得存储在该计算机可读存储器中的指令产生包括 指令装置的制造品， 该指令装置实现在流程图一个流程或多个流程和 /或方框图一个方 框或多个方框中指定的功能。 这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上， 使得在计 算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理， 从而在计算 机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和 /或 方框图一个方框或多个方框中指定的功能的步骤。 以上所述， 仅为本发明的较佳实施例而已， 并非用于限定本发明的保护范围。 工业实用性 如上所述， 本发明实施例提供的一种随机接入信号的检测方法、 装置和系统具有 以下有益效果： 实现了干扰消除， 以达到提高随机接入信号的漏检性能和虚警性能的 目的。 同时， 还可以提高本区大小信号共存时小信号的漏检性能， 从而进一步改善系 统的性能。 另外， 由于本发明实施例提供的方法不需要邻区干扰信号特征， 也不需要 重构邻区干扰信号和本区干扰信号， 而是直接实现干扰消除， 因此运算量小， 节省了 资源， 有利于系统的实现。

Claims

权 利 要 求 书 、 一种随机接入信号的检测方法， 所述方法包括：
根据接收到的时域随机接入信号确定临时峰值检测序列； 对所述临时峰值检测序列中搜索窗对应的频域循环移位序列确定干扰消除 权值， 根据所述干扰消除权值对临时峰值检测序列进行干扰消除， 得到最终峰 值检测序列；
对所述最终峰值检测序列进行峰值检测。 、 如权利要求 1所述的方法， 其中， 所述根据接收到的时域随机接入信号确定临 时峰值检测序列包括：
将接收到的时域随机接入信号经过快速傅立叶变换由时域变换到频域，得 到频域随机接入信号；
将频域随机接入信号与本地根序列或循环移位序列的频域值共轭点乘； 然后再经过反快速傅立叶变换将频域随机接入信号由频域变换到时域， 得 到临时峰值检测序列。 、 如权利要求 2所述的方法， 其中， 所述临时峰值检测序列是本地根序列的临时 峰值检测序列或循环移位序列的临时峰值检测序列。 、 如权利要求 1所述的方法， 其中， 所述的对所述临时峰值检测序列中搜索窗对 应的频域循环移位序列确定干扰消除权值， 根据所述干扰消除权值对临时峰值 检测序列进行干扰消除， 得到最终峰值检测序列具体为对所述临时峰值检测序 列中搜索窗对应的频域循环移位序列， 依次确定频域循环移位序列对应的干扰 消除权值， 再根据所述干扰消除权值对所述临时峰值检测序列进行加权合并后 求模平方， 得到最终峰值检测序列。 、 如权利要求 1所述的方法， 其中， 所述的对所述最终峰值检测序列进行峰值检 测具体为对所述最终峰值检测序列进行噪声均值估计， 并根据获取到的估计值 确定信号检测门限， 然后对当前频域循环移位序列对应的搜索窗内的信号进行 检测， 并对超过信号检测门限的信号进行筛选。 、 如权利要求 1至 5中任一项所述的方法， 其中， 所述的确定干扰消除权值具体 为 根据 公 式 W=R^ 获得 ， 其 中 ， 是干扰 消 除 权值 ， R = E{SYH \ Rrr =£{^ ^是频域本地循环移位序列， γ是干扰消除前的频 域随机接入信号， S的维数为 1 χ ， Y的维数为 Μ χ ， M为接收天线个数，
N是子载波数。 、 如权利要求 1至 5任一项所述的方法，其中，所述的干扰消除具体为根据^^ ^ 获得， 其中， 是干扰消除权值， 是干扰消除后的频域随机接入信号， 的 维数为 l x N。 、 如权利要求 1所述的方法， 其中， 所述的对所述最终峰值检测序列进行峰值检 测是将随机接入信号为重复格式的最终峰值检测序列先进行功率合并， 再对合 并后的最终峰值检测序列进行噪声均值估计， 并根据获取到的估计值确定信号 检测门限， 然后对当前频域循环移位序列对应的搜索窗内的信号进行检测， 并 对超过信号检测门限的信号进行筛选。 、 如权利要求 8所述的方法，其中，所述的功率合并是等增益合并或最大比合并。 0、 如权利要求 1所述的方法， 其中， 所述的对所述临时峰值检测序列中搜索窗对 应的频域循环移位序列确定干扰消除权值， 根据所述干扰消除权值对临时峰值 检测序列进行干扰消除， 得到最终峰值检测序列具体为根据所述临时峰值检测 序列中所有搜索窗对应的频域循环移位序列， 全部确定频域循环移位序列对应 的干扰消除权值， 根据所述干扰消除权值对所述临时峰值检测序列中所有搜索 窗内的信号分别进行加权合并， 再求模平方， 得到最终峰值检测序列。 1、 一种随机接入信号的检测装置， 该装置包含以模块： 获取模块，设置为根据接收到的时域随机接入信号确定临时峰值检测序列； 干扰消除模块， 设置为对所述临时峰值检测序列中搜索窗对应的频域循环 移位序列确定干扰消除权值， 并根据所述干扰消除权值对临时峰值检测序列进 行干扰消除， 得到最终峰值检测序列；
检测模块， 设置为对所述最终峰值检测序列进行峰值检测。 、 如权利要求 11所述的检测装置， 其中， 所述的获取模块包括: 时频变换子模块， 设置为对接收到的时域随机接入信号进行 FFT变换， 得 到频域随机接入信号； 互相关子模块， 设置为将所述频域随机接入信号与本地根序列或循环移位 序列的频域值共轭点乘；
频时变换子模块， 设置为将互相关子模块的输出结果进行 IFFT变换， 得 到临时峰值检测序列。 、 如权利要求 11所述的检测装置， 其中， 所述的干扰消除模块包括： 权值获取子模块， 设置为对所述临时峰值检测序列中搜索窗对应的频域循 环移位序列确定干扰消除权值； 运算子模块， 设置为根据权值获取子模块的输出结果对所述临时峰值检测 序列进行加权合并， 再求模平方， 得到最终峰值检测序列。 、 如权利要求 11所述的检测装置，其中，所述的检测模块还可以包括合并子模块， 所述的合并子模块设置为当随机接入信号是重复格式的随机接入信号时， 将重 复的两部分对应的最终峰值检测序列进行功率合并。 、 一种随机接入信号的检测系统， 包括终端和基站， 所述的基站包括了权利要求 11至 14中任一项所述的随机接入信号的检测装置。
PCT/CN2014/085340 2014-06-18 2014-08-27 一种随机接入信号的检测方法、装置和系统 Ceased WO2015192474A1 (zh)

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