WO2012106963A1 - Procédé et dispositif d'élimination de brouillage et de bruit - Google Patents

Procédé et dispositif d'élimination de brouillage et de bruit Download PDF

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Publication number
WO2012106963A1
WO2012106963A1 PCT/CN2011/082348 CN2011082348W WO2012106963A1 WO 2012106963 A1 WO2012106963 A1 WO 2012106963A1 CN 2011082348 W CN2011082348 W CN 2011082348W WO 2012106963 A1 WO2012106963 A1 WO 2012106963A1
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WIPO (PCT)
Prior art keywords
noise
interference
pilot sequence
equalization
channel estimation
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Ceased
Application number
PCT/CN2011/082348
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English (en)
Chinese (zh)
Inventor
张磊
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ZTE Corp
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ZTE Corp
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Publication of WO2012106963A1 publication Critical patent/WO2012106963A1/fr
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Classifications

    • 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
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H04L25/03012—Arrangements for removing intersymbol interference operating in the time domain
    • H04L25/03019—Arrangements for removing intersymbol interference operating in the time domain adaptive, i.e. capable of adjustment during data reception
    • 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
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H04L2025/03433—Arrangements for removing intersymbol interference characterised by equaliser structure
    • H04L2025/03535—Variable structures
    • 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
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H04L2025/03592—Adaptation methods
    • H04L2025/03598—Algorithms
    • H04L2025/03611—Iterative algorithms
    • H04L2025/03617—Time recursive algorithms

Definitions

  • the present invention relates to the field of communications, and in particular to a method and apparatus for interference and noise cancellation.
  • BACKGROUND OF THE INVENTION The data rate provided by the existing cellular mobile communication system is greatly different between the cell center and the cell edge, which not only affects the capacity of the entire system, but also the quality of service obtained by the user at different locations fluctuates greatly. Therefore, the new generation of broadband wireless communication systems currently under development will inevitably improve the performance of cell edge users as one of the main demand indicators.
  • the existing interference cancellation scheme is mainly based on the spatial interference suppression technology of the multi-antenna receiving terminal. It does not rely on any additional transmitter configuration, so there is no need to do any additional standardization work, but does not rely on any additional signal differentiation means (such as frequency division, code division, interleaver division), but only rely on air separation means, very It is difficult to obtain a satisfactory interference cancellation effect, and the interference in the system is relatively small, and it is difficult to distinguish it by the spatial dimension, which may cause deterioration of system performance.
  • the present invention provides an interference and noise cancellation method and apparatus to solve at least one of the above problems.
  • an interference and noise cancellation method including: extracting a received pilot sequence of a user from a received signal; and obtaining interference according to the extracted received pilot sequence and a local transmitted pilot sequence a noise space characteristic matrix; determining a relative ratio of interference and noise according to the spatial matrix of interference noise; determining a relative ratio of the interference and the noise to a predetermined threshold, and selecting a corresponding equalization algorithm to perform equalization according to the comparison result, eliminating The above interference and noise.
  • Selecting the corresponding equalization algorithm for equalization according to the comparison result includes: when the relative ratio of the interference and the noise is greater than or equal to the predetermined threshold, selecting an equalization algorithm with interference suppression to perform equalization; and the relative ratio of the interference to the noise is less than a predetermined threshold When the value is selected, the equalization algorithm that eliminates noise is selected for equalization.
  • Obtaining an interference noise spatial characteristic matrix according to the extracted received pilot sequence and the local transmit pilot sequence includes: performing channel estimation according to the received pilot sequence and the transmitted pilot sequence, and obtaining a channel estimation value; according to the channel estimation value, The pilot sequence is received and the pilot sequence is transmitted, and the interference noise spatial characteristic matrix is obtained.
  • the methods for channel estimation include: Least Square (Least Square, LS for short), Linearity Minimum Mean Square Error (LMMSE), time domain noise reduction, and frequency domain noise reduction.
  • the equalization algorithms with interference suppression include: Minimum Mean Square Error (MMSE); Noise equalization algorithms include: Zero Forcing (ZF), Maximum Ratio Combing , referred to as MRC), MMSE.
  • an interference and noise canceling apparatus comprising: a sequence extracting module, configured to extract a received pilot sequence of a user from a received signal; and a spatial matrix module, configured to receive, according to the received a frequency sequence and a local transmission pilot sequence, and a spatial matrix of interference noise is obtained, and a relative ratio of interference and noise is determined according to the spatial matrix of the interference noise; a decision selection module is configured to determine a relative ratio of the interference and the noise. Compared with the predetermined threshold, the corresponding equalization algorithm is selected according to the comparison result to perform equalization, and the above interference and noise are eliminated.
  • the decision selection module includes: a decision unit configured to compare the determined relative ratio of the interference and the noise with a predetermined threshold; the interference suppression unit is configured to select the band when the relative ratio of the interference and the noise is greater than or equal to a predetermined threshold The equalization algorithm with interference suppression performs equalization; the noise cancellation unit is set to select an equalization algorithm for eliminating noise to perform equalization when the relative ratio of interference and noise is less than a predetermined threshold.
  • the spatial matrix module includes: a channel estimation unit, configured to perform channel estimation according to the received pilot sequence and the transmitted pilot sequence, to obtain a channel estimation value; and a matrix calculation unit configured to: according to the channel estimation value, the received pilot sequence, and the transmit pilot The sequence is used to obtain a spatial characteristic matrix of interference noise; the ratio determining unit is configured to determine a relative ratio of interference and noise according to a spatial matrix of interference noise.
  • the channel estimation unit performs channel estimation methods including: LS, LMMSE, time domain noise reduction, and frequency domain noise reduction.
  • the equalization algorithm with interference suppression includes: MMSE; the noise elimination algorithm includes: ZF, MRC,
  • MMSEo uses the present invention to select a different interference noise cancellation method for equalization according to the ratio of interference and noise, and solves the problem of unknown interference size in the communication system, and robustly adopts an equalization method.
  • the problem of system performance degradation caused by equalization is achieved, thereby improving the communication characteristics of the cell edge users and maximizing the throughput of the cell center users.
  • FIG. 1 is a flow chart of a method for interference and noise equalization according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a structure of a pilot time domain continuous sequence according to an embodiment of the present invention
  • FIG. 3 is an interference according to an example of the present invention.
  • FIG. 4 is a block diagram showing the structure of an interference and noise equalization apparatus according to an embodiment of the present invention.
  • FIG. 5 is a block diagram showing the structure of an interference and noise equalization apparatus according to a preferred embodiment of the present invention.
  • BEST MODE FOR CARRYING OUT THE INVENTION the present invention will be described in detail with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.
  • 1 is a flow chart of an interference and noise equalization method in accordance with an embodiment of the present invention. As shown in FIG.
  • the interference and noise equalization method includes: Step S102: extracting a received pilot sequence of a user from a received signal; Step S104, according to the extracted received pilot sequence and a local transmit guide a frequency sequence, the interference noise spatial characteristic matrix is obtained; Step S106, determining a relative ratio of the interference and the noise according to the interference noise spatial characteristic matrix; Step S108, comparing the determined relative ratio of the interference and the noise with a predetermined threshold value, According to the comparison result, the corresponding equalization algorithm is selected for equalization to eliminate interference and noise.
  • the above method utilizes the interference suppression combining technique, and selects different interference noise cancellation schemes for equalization according to the proportion of interference and noise, so that the communication characteristics of the cell edge users can be improved at the same time.
  • step S102 receiving the data information sent by the user, the pilot sequence may be extracted from the received signal according to the corresponding location, as shown in FIG. 2 .
  • selecting the corresponding equalization algorithm for equalization according to the comparison result may further include the following processing: (1) selecting an equalization algorithm with interference suppression when the relative ratio of the interference and the noise is greater than or equal to a predetermined threshold. Equilibrium;
  • step S104 may further include the following processes: (1) performing channel estimation according to the received pilot sequence and the transmitted pilot sequence, and obtaining a channel estimation value;
  • the interference noise spatial characteristic matrix is obtained based on the channel estimation value, the received pilot sequence, and the transmission pilot sequence.
  • channel estimation may be first performed according to the received pilot sequence and the transmitted pilot sequence, and then the interference noise spatial characteristic matrix is finally obtained according to the channel estimation value, the received pilot sequence, and the transmitted pilot sequence.
  • the method for performing channel estimation may include: LS, LMMSE, time domain noise reduction, and frequency domain noise reduction.
  • the foregoing equalization algorithm with interference suppression may include: MMSE; the above noise elimination equalization algorithm includes: ZF, MRC, MMSE.
  • Step 1 Receive data information sent by the user, and extract a pilot sequence from the received signal according to the corresponding position
  • Step 2 Channel estimation, using the received pilot signal and the transmitted local pilot to perform channel estimation of the current cell
  • the third step the measurement of the spatial matrix of interference and noise, according to the measured interference and noise, find their spatial feature matrix
  • the fourth step Calculate the relative ratio of interference and noise according to the distribution characteristics of the interference and noise spatial matrix, And compared with the threshold
  • Step 5 Adaptive selection of the equalization algorithm for equalization, eliminating interference and noise.
  • the interference and noise equalization method includes the following steps: Step 302: Taking LTE as an example, the corresponding time-frequency resource location is as shown in FIG. 2, and the received time-frequency resource location is extracted according to the corresponding time-frequency resource location. Pilot information, used for channel estimation in the next step.
  • the channel estimation method is not limited, and may be a channel estimation method such as LS, LMMSE, time domain noise reduction, and frequency domain noise reduction.
  • the domain noise reduction method is taken as an example: First, the LS algorithm is used to obtain the channel estimation without noise reduction. The formula is as follows:
  • J /flre is the front window length
  • ⁇ is the length of the back window
  • N is the number of subcarriers occupied by the target user, is 3 ⁇ 4
  • Step 306 Calculate the spatial structure matrix of the interference noise according to the channel estimation value, the transmission and the reception pilot sequence obtained in step 304, and the method is not limited. The following method is taken as an example: First, the interference and noise sequence are calculated:
  • NI Y -H p *X
  • P is the channel estimate at the pilot
  • M is the interference noise sequence
  • R n NI "M H / N where N is the number of calculated subcarriers.
  • Step 308 according to the distribution characteristic of the interference noise spatial matrix obtained in step 306, obtain a relative ratio of interference and noise, and the distribution of noise and interference has a certain regularity in the spatial matrix. According to the regularity, the calculation can be calculated. The relative ratio of interference to noise.
  • Step 310 Compare the relative ratio of the interference and the noise calculated in step 308 to a predetermined threshold.
  • the equalization algorithm with interference suppression is used. If the threshold is smaller than the threshold, the equalization algorithm for eliminating noise is used.
  • the threshold here may be The simulation statistics determine the result of the field test. Step 312, according to the channel estimation value obtained in step 304, the spatial characteristic matrix of the interference and noise obtained in step 304 and the received data are equalized to eliminate interference and noise, wherein the equalization formula with interference suppression is as follows, taking MMSE as an example, but Not limited to the MMSE algorithm:
  • the noise equalization algorithm can be based on ZF, MRC, MMSE, etc.
  • the interference and noise equalization apparatus includes: a sequence extraction module 42 configured to extract a received pilot sequence of a user from a received signal; and a spatial matrix module 44 configured to receive according to the received a pilot sequence and a local transmit pilot sequence, and a spatial matrix of interference noise is obtained, and a relative ratio of interference and noise is determined according to the interference noise spatial characteristic matrix; a decision selection module 46 is set to determine the interference and noise.
  • the relative ratio is compared with a predetermined threshold, and the corresponding equalization algorithm is selected according to the comparison result to perform equalization to eliminate interference and noise.
  • the above device utilizes the interference suppression combining technology, and selects different interference noise cancellation schemes for equalization according to the proportion of interference and noise (ie, adaptively performs equalization), thereby maximizing the communication characteristics of the cell edge users while maximizing Improve the throughput of community center users.
  • the decision selecting module 46 may further include: a determining unit 462, configured to compare the determined relative ratio of interference and noise with a predetermined threshold; the interference suppressing unit 464 is configured to have a relative ratio of interference and noise greater than or equal to When the threshold is predetermined, an equalization algorithm with interference suppression is selected for equalization; and the noise cancellation unit 466 is configured to select an equalization algorithm for canceling the noise to perform equalization when the relative ratio of the interference and the noise is less than a predetermined threshold.
  • a determining unit 462 configured to compare the determined relative ratio of interference and noise with a predetermined threshold
  • the interference suppressing unit 464 is configured to have a relative ratio of interference and noise greater than or equal to When the threshold is predetermined, an equalization algorithm with interference suppression is selected for equalization
  • the noise cancellation unit 466 is configured to select an equalization algorithm for canceling the noise to perform equalization when the relative ratio of the interference and the noise is less than a predetermined threshold.
  • the spatial matrix module 44 may further include: a channel estimation unit 442, configured to perform channel estimation according to the received pilot sequence and the transmitted pilot sequence, to obtain a channel estimation value; and a matrix calculation unit 444 configured to determine, according to the channel estimation value, Receiving a pilot sequence and transmitting a pilot sequence to obtain an interference noise spatial characteristic matrix; the ratio determining unit 446 is configured to determine a relative ratio of interference and noise according to the interference noise spatial characteristic matrix.
  • the calculation of the interference noise spatial characteristic matrix can be divided into two steps. After the channel estimation unit 442 obtains the channel estimation value, the matrix calculation unit 444 can obtain the interference noise spatial characteristic matrix on this basis.
  • the ratio determining unit 446 can determine the relative ratio of the interference and the noise according to the distribution characteristic of the interference noise spatial characteristic matrix.
  • the working process of the foregoing preferred apparatus may be summarized as follows: First, the sequence extraction module 42 extracts the received pilot sequence of the user according to the corresponding time-frequency resource, and then the channel estimation unit 442 sends the received pilot sequence according to the received pilot sequence. The pilot sequence performs channel estimation, and the matrix calculation unit 444 calculates a spatial characteristic matrix of the interference noise. The ratio determining unit 446 calculates a relative ratio of interference and noise according to the distribution characteristic of the matrix, and then passes the interference and noise through the decision unit 462. The relative ratio is compared with the threshold.
  • the interference suppression unit 464 and the noise cancellation unit 466 select an appropriate equalization algorithm for equalization based on the comparison result obtained by the decision unit 462 to eliminate interference and noise.
  • the method for performing channel estimation by the channel estimation unit 442 may include: LS, LMMSE, time domain noise reduction, and frequency domain noise reduction.
  • the foregoing equalization algorithm with interference suppression may include: MMSE; the above noise elimination equalization algorithm includes: ZF, MRC, MMSE.
  • algorithms that can be used here include, but are not limited to, the above algorithms.
  • the present invention designs an adaptive interference noise equalization scheme based on the interference suppression combining technology, which not only improves the communication characteristics of the cell edge users, but also maximizes the cell center. User throughput.
  • the above modules or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Noise Elimination (AREA)

Abstract

La présente invention porte sur un procédé et un dispositif destinés à l'élimination du brouillage et du bruit. Le procédé comprend : l'extraction d'une séquence pilote de réception d'un utilisateur à partir d'un signal reçu, l'obtention d'une matrice de caractéristiques spatiales de brouillage et de bruit selon la séquence pilote de réception extraite et une séquence pilote de transmission locale, la détermination d'un rapport relatif de brouillage sur bruit en fonction de la matrice de caractéristiques spatiales de brouillage et de bruit, la comparaison du rapport relatif déterminé de brouillage sur bruit à un seuil prédéterminé, et la sélection d'un algorithme d'égalisation correspondant destiné à une égalisation en fonction du résultat de la comparaison, éliminant ainsi le brouillage et le bruit. La solution technique de la présente invention résout le problème selon lequel les performances du système se dégradent lorsqu'un procédé d'égalisation est utilisé de manière robuste pour mettre en œuvre une égalisation avec un degré de brouillage inconnu dans un système de communication, ce qui permet d'améliorer la caractéristique de communication d'utilisateurs de bord de cellule et d'augmenter de manière maximale le débit d'utilisateurs de centre de cellule.
PCT/CN2011/082348 2011-02-11 2011-11-17 Procédé et dispositif d'élimination de brouillage et de bruit Ceased WO2012106963A1 (fr)

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CN2011100370096A CN102638423A (zh) 2011-02-11 2011-02-11 干扰和噪声消除方法及装置
CN201110037009.6 2011-02-11

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CN104852748A (zh) * 2014-02-14 2015-08-19 富士通株式会社 干扰抑制装置、方法以及接收机
CN105099610B (zh) * 2014-05-16 2018-09-28 华为技术有限公司 信号处理的方法及装置
DE102014115136B4 (de) * 2014-10-17 2021-10-28 Apple Inc. Kommunikationsvorrichtung und Verfahren zum Verarbeiten eines empfangenen Signals
CN106941389B (zh) * 2016-01-05 2019-06-25 中国移动通信集团公司 一种干扰消除方法及装置
CN105577593B (zh) * 2016-01-18 2018-12-25 华南师范大学 一种基于非判决辅助的次符号光相位噪声抑制方法
CN105827274B (zh) * 2016-03-11 2018-06-29 中国科学院上海高等研究院 一种无线信号的干扰抑制方法和系统

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WO2007024963A2 (fr) * 2005-08-22 2007-03-01 Qualcomm Incorporated Élimination des interférences en liaison retour
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