WO2006069488A1 - Procede de detection par combinaison pour systeme de communication sans fil a reseau d'antennes - Google Patents

Procede de detection par combinaison pour systeme de communication sans fil a reseau d'antennes Download PDF

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Publication number
WO2006069488A1
WO2006069488A1 PCT/CN2004/001583 CN2004001583W WO2006069488A1 WO 2006069488 A1 WO2006069488 A1 WO 2006069488A1 CN 2004001583 W CN2004001583 W CN 2004001583W WO 2006069488 A1 WO2006069488 A1 WO 2006069488A1
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WO
WIPO (PCT)
Prior art keywords
mobile device
data
impulse response
detection method
channel impulse
Prior art date
Application number
PCT/CN2004/001583
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English (en)
Chinese (zh)
Inventor
Xinxing Yang
Original Assignee
Zte Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zte Corporation filed Critical Zte Corporation
Priority to PCT/CN2004/001583 priority Critical patent/WO2006069488A1/fr
Priority to JP2007548665A priority patent/JP4560088B2/ja
Priority to CN2004800441526A priority patent/CN101036318B/zh
Priority to KR1020077017354A priority patent/KR100992432B1/ko
Publication of WO2006069488A1 publication Critical patent/WO2006069488A1/fr
Priority to HK07106535.2A priority patent/HK1099613A1/xx

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/02Arrangements for detecting or preventing errors in the information received by diversity reception

Definitions

  • the present invention relates to a receiving technique for a time division duplex (TDD) wireless communication system, and more particularly to a method for joint detection of signals received through an antenna array in a TDD system and a base station implementing the method.
  • TDD time division duplex
  • CDMA Code Division Multiple Access
  • the first type of receiver is a conventional matched filter or RAKE receiver, which considers the intersymbol interference ISI and the multiple access interference MAI as the noise of the transmitted signal.
  • the RAKE receiver is capable of distinguishing signals from different transmission paths of the same mobile device and combining them according to certain criteria, but the output of the RAKE receiver still contains multiple access interference MAI.
  • the output result includes both the inter-symbol interference ISI and the multiple access interference MAI.
  • the use of matched filters does not solve the near-far effect, so the power must be strictly controlled.
  • the second receiver utilizes all information of inter-symbol interference ISI and multiple-access interference MAI, and uses interference cancellation (IC) method or joint detection (JD) method to obtain signals transmitted by mobile devices.
  • the interference cancellation method uses cascading cancellation or parallel cancellation to subtract the multiple access interference MAI signal from the total signal to obtain a "clean" signal for each mobile device.
  • the joint detection method utilizes information of inter-symbol interference ISI and multiple-access interference MAI, and simultaneously detects signals of all mobile devices.
  • the optimal joint detection method is a nonlinear maximum likelihood sequence estimation algorithm, which uses the Viterbi algorithm to detect the transmission sequence of the most likely K mobile devices.
  • the computational complexity of the algorithm is 0 (2. Thus, if the number of mobile devices is large, it is impossible to implement joint detection in real time.
  • MMSE-BLE minimum Mean square error block linear equalization
  • ZF-BDFE block decision feedback equalization
  • MMSE-BDFE minimum mean square error block decision feedback equalization
  • the joint detection method is better than the matched filtering method in performance, for the TDD system, the joint detection method is affected by signal synchronization and channel estimation accuracy. If the signal synchronization between mobile devices is not good or the channel estimation is poor, This can seriously affect the performance of the joint detection method, and this effect will increase as the number of mobile devices increases. Therefore, how to overcome the above defects and improve the reliability of the joint detection method is an urgent problem to be solved. Summary of the invention
  • the present invention has been made in view of the above problems in the prior art, and an object thereof is to provide a new joint detection method for a wireless communication system having an antenna array, which can reduce signal synchronization due to a mobile device.
  • the influence of channel estimation error and can improve the signal-to-noise ratio of the joint detection input data, especially suitable for the case of a large number of mobile devices.
  • Another object of the present invention is to provide a base station that implements the above joint detection method.
  • a wireless communication system for an antenna array is provided Joint detection methods, including:
  • the received signals are weighted to obtain beamformed data of each mobile device; and the data of each mobile device is jointly detected by using the beamformed data.
  • the step of estimating the beamforming value of each mobile device is implemented by any one of a fixed beam search method, a maximum power method, a maximum signal to interference ratio method, or an adaptive weight estimation method.
  • the step of jointly detecting further comprises:
  • Data of each mobile device is detected based on the weighted composite channel impulse response and the data after beamforming of each mobile device.
  • a base station for implementing the joint detection method including:
  • An antenna array configured to receive a signal transmitted by a mobile device
  • a radio frequency transceiver for sampling down-converting a received signal
  • a baseband processor for performing baseband processing on the sampled data
  • the baseband processor further includes:
  • a channel estimator for estimating a channel of each mobile device to each antenna; a weight estimator for estimating a beamforming weight of each mobile device according to the estimated channel; and a signal processor for performing the joint Detect, get data for each mobile device.
  • the signal processor further comprises:
  • a first generator configured to perform a convolution operation on the channel estimation value to generate a composite channel impulse response
  • a second generator configured to perform weighting on the composite channel impulse response by using the beamforming weight, to generate a force P weight composite channel impulse response
  • a third generator configured to generate a system matrix by using the weighted composite channel impulse response
  • a fourth generator configured to generate an inverse matrix of the system matrix
  • a data weighting unit configured to perform weighting on the sampled data by using the beamforming weight
  • a matched filter configured to perform matched filtering on the system matrix and the weighted data
  • a fifth generator configured to: Generating data for each mobile device based on the inverse matrix and the matched filtering result.
  • the invention utilizes beamforming weights to perform joint detection, which not only greatly reduces the influence of joint detection performance degradation due to poor signal synchronization between mobile devices, but also reduces the inaccuracy of channel estimation.
  • the multiple access interference (MAI) is added, and the signal-to-noise ratio of the input data of the joint detection is improved, thereby improving the performance of the joint detection algorithm.
  • the present invention is simple to implement and has a low computational complexity.
  • FIG. 1 is a flow chart of a joint detection method in accordance with one embodiment of the present invention.
  • FIG. 2 is a block diagram showing the structure of a base station implementing the joint detecting method shown in FIG. 1 according to an embodiment of the present invention
  • Figure 3 is a schematic diagram of a signal processor of the base station shown in Figure 2. detailed description
  • a channel of each mobile device to each antenna of the antenna array is estimated using a training sequence.
  • channel estimation is performed on received data by using a training sequence known to each mobile device, and channels of all mobile devices on all antennas are obtained. estimate.
  • the specific processing is as follows: Assume that there is a mobile device communication in the wireless communication system, the antenna array of the base station includes T antennas, the training sequence of each mobile device is known, and the training sequence of all mobile devices The matrix consisting of columns is M, and the training sequence of all mobile devices received by ⁇ i antennas in a burst is ⁇
  • the M matrix of the training sequence of all mobile devices can be written as a cyclic matrix, so the Fast Fourier Transform (FFT) can be used to solve the equation (1):
  • the beamforming weight of each mobile device can be calculated using the estimated channel according to the array signal processing method.
  • the beamforming weight can be estimated by any one of a fixed beam search method, a maximum power method, a maximum signal to interference ratio method, or an adaptive weight estimation method. These methods are well known to those skilled in the art.
  • the received data is weighted using the respective beamforming weights of each mobile device to obtain beamformed data for each mobile device. Because the beam has a certain width, and since the beam side lobes may not completely disappear, the beamformed data is not completely data of a mobile device, and it may be interfered by data of other mobile devices. However, even if there is interference, since the beamforming is performed, the interference at this time is much smaller than that before the wave velocity forming, and the signal-to-noise ratio of the data after beamforming is also improved. Specifically, it is assumed that the data portion of the burst received by the ith antenna is the column vector r, ., then the data portion of the kth mobile device beam is formed.
  • w represents the weight of the ⁇ i root antenna of the k mobile devices.
  • beamformed data may also contain interference
  • beamformed data is utilized Jointly detect the data of each mobile device. Since the interference between the mobile devices has been minimized before the joint detection, and the signal-to-noise ratio of the mobile device data is also improved, the performance of the joint detection can be greatly improved. If the mobile device is not in the same beam, even if the signal synchronization is not very good, there is no impact on the joint detection. If there are beam side lobes or the mobile device is in the same beam, but the intra-beam mobile device has been reduced, the performance of the joint detection can also be improved.
  • the joint detection is performed as follows.
  • the channel estimate for each mobile device on each antenna is convolved with the spread spectrum scrambling code for each mobile device to form a corresponding composite channel impulse response. Assuming a composite channel impulse response of the ith antenna of the kth mobile device, then 6 Wherein, the spreading scrambling code representing the kth mobile device indicates the channel estimation of the ith antenna of the kth mobile device.
  • MMSE minimum mean square solution
  • the data of each mobile device can be obtained through the above steps.
  • the influence of the joint detection performance degradation caused by the poor synchronization of the mobile device and the channel estimation error can be reduced, and the signal-to-noise ratio of the input data of the joint detection is improved, thereby improving the joint. Detect the performance of the algorithm.
  • FIG. 2 is a block diagram showing the structure of a base station implementing the joint detecting method shown in FIG. 1 according to an embodiment of the present invention.
  • the base station includes N identical omnidirectional antenna units.
  • the antenna units 201A, 201B, ..., 201N receive signals transmitted by the K mobile devices, and output to the corresponding radio frequency transceivers 203A, 203B, ..., 203N for sampling down-conversion. All RF transceivers 203 use the same local oscillator source to ensure that the RF transceivers in the same base station are coherent.
  • Each of the radio frequency transceivers includes an analog-to-digital converter (ADC) such that signals output by all of the radio frequency transceivers 203 to the baseband processor 204 are digital signals between the radio frequency transceivers 203 and the baseband processor 204. Connected via a high speed digital bus. The radio frequency transceiver 203 transmits the sampled data to the baseband processor 204 for baseband processing.
  • ADC analog-to-digital converter
  • the baseband processor 204 includes N channel estimators 207A, 207B, ..., 207N, a weight estimator 208, and a signal processor 209 corresponding to the N radio frequency transceivers 203A, 203B, ..., 203N.
  • the received data subjected to down-conversion by the RF transceivers 203A, 203B, ..., 203N is output to the channel estimators 207A, 207B, ... 207N for channel estimation, and the channels of all mobile devices on each antenna are used.
  • the estimate / ⁇ ..., / ⁇ is output to the weight estimator 208.
  • the weight estimator 208 can calculate the beamforming weights of all mobile devices according to any one of a fixed beam method, a maximum power method, a maximum signal to interference ratio method, or other adaptive algorithms, and then channel estimates h , , h N , beamforming
  • the weights ⁇ and the received data ... are output to the signal processor 209 for weighted joint detection to obtain data for each mobile device.
  • Figure 3 shows a schematic diagram of the signal processor 209 of the base station shown in Figure 2.
  • the signal processor 209 includes: a first generator 2092 for generating a composite channel impulse response, a second generator 2093 for generating a weighted composite channel impulse response, and a system for generating a system matrix a third generator 2094, a fourth generator 2095 for generating an inverse matrix of the system matrix, a data weighter 2096 for weighting the received data, , a matched filter 2097, and a data for generating data of the mobile device Five generators 2098.
  • the third generator 2094 generates a system matrix using a weighted composite channel impulse response, a system matrix) 7 , . . .
  • the system matrix ⁇ (inverse matrix 04 ⁇ 4)-' is then generated in the fourth generator 2095.
  • the data weighter 2096 weights the received data from the radio frequency transceiver 203, ..., using the beamforming weights output by the weight estimator 208, generates weighted received data, and arranges them into vectors.
  • the third generator 2094 outputs a system matrix ⁇ (and the data weighter 2096 outputs the received data vector F to the matched filter 2097 for matched filtering, and outputs the result of the matched filtering to the fifth generator 2098.
  • the data output of each mobile device is generated using a least squares algorithm or a maximum likelihood algorithm or a minimum mean square error algorithm.
  • weighted joint detection can be implemented, and the effect of joint detection performance degradation caused by poor signal synchronization of the mobile device and channel estimation error is reduced, and the performance of the joint detection is improved.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention se rapporte à un procédé de détection par combinaison conçu pour un système de communication sans fil doté d'un réseau d'antennes. Ce procédé consiste à évaluer le canal de chaque conducteur aérien allant de chaque équipement mobile au réseau d'antennes; à évaluer la valeur de pondération de mise en forme du faisceau de chaque équipement mobile; à pondérer le signal reçu, à acquérir les données de chaque équipement mobile après la mise en forme du faisceau; à utiliser lesdites données après la mise en forme du faisceau, et à détecter par combinaison les données de chaque équipement mobile. La présente invention qui utilise un mode pondéré par une valeur de pondération de la mise en forme du faisceau pour effectuer une détection par combinaison, permet non seulement de réduire considérablement l'influence négative des résultats de détection par combinaison dégradés du fait que la synchronisation des signaux entre les équipements mobiles est inférieure à une valeur de référence, mais elle permet également de réduire le brouillage par accès multiple du fait de l'inexactitude de l'évaluation du canal, et en même temps améliorer le rapport signal-bruit (SNR) des données d'entrée de détection par combinaison, ceux-ci améliorant les résultats de l'algorithme de détection par combinaison. En outre, la présente invention a l'avantage de pouvoir être mise en oeuvre simplement, et elle se caractérise par une faible complexité de calcul. La présente invention se rapporte en outre à la station de base permettant la mise en oeuvre de ce procédé de détection par combinaison.
PCT/CN2004/001583 2004-12-31 2004-12-31 Procede de detection par combinaison pour systeme de communication sans fil a reseau d'antennes WO2006069488A1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
PCT/CN2004/001583 WO2006069488A1 (fr) 2004-12-31 2004-12-31 Procede de detection par combinaison pour systeme de communication sans fil a reseau d'antennes
JP2007548665A JP4560088B2 (ja) 2004-12-31 2004-12-31 アンテナアレーを有する無線通信システムのジョイント検出方法及び基地局
CN2004800441526A CN101036318B (zh) 2004-12-31 2004-12-31 用于具有天线阵列的无线通信系统的联合检测方法及基站
KR1020077017354A KR100992432B1 (ko) 2004-12-31 2004-12-31 안테나 어레이를 구비한 무선통신 시스템에 이용되는조인트 검출 방법 및 기지국
HK07106535.2A HK1099613A1 (en) 2004-12-31 2007-06-18 A combination detection method for wireless communication system with antenna array

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2004/001583 WO2006069488A1 (fr) 2004-12-31 2004-12-31 Procede de detection par combinaison pour systeme de communication sans fil a reseau d'antennes

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WO2006069488A1 true WO2006069488A1 (fr) 2006-07-06

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KR (1) KR100992432B1 (fr)
CN (1) CN101036318B (fr)
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WO (1) WO2006069488A1 (fr)

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US8576691B2 (en) 2008-02-28 2013-11-05 Huawei Technologies Co., Ltd. Method and apparatus for crosstalk channel estimation
CN118336944A (zh) * 2024-04-14 2024-07-12 惠州市双远电子科技有限公司 一种电力无线充电控制方法及系统

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TWI604705B (zh) * 2015-08-14 2017-11-01 財團法人工業技術研究院 動態波束形成方法和使用所述方法的相關設備
CN106658515B (zh) 2015-10-29 2020-04-21 华为技术有限公司 通信方法和装置

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CN1339888A (zh) * 2001-10-23 2002-03-13 杨大成 无线通信系统中应用智能天线和联合检测的接收机结构及其算法
WO2004054150A1 (fr) * 2002-11-13 2004-06-24 Da Tang Mobile Communications Equipment Co., Ltd. Procede d'utilisation de longs codes a ciblage de zone dans un systeme de detection conjointe

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CN1339888A (zh) * 2001-10-23 2002-03-13 杨大成 无线通信系统中应用智能天线和联合检测的接收机结构及其算法
WO2004054150A1 (fr) * 2002-11-13 2004-06-24 Da Tang Mobile Communications Equipment Co., Ltd. Procede d'utilisation de longs codes a ciblage de zone dans un systeme de detection conjointe

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8576691B2 (en) 2008-02-28 2013-11-05 Huawei Technologies Co., Ltd. Method and apparatus for crosstalk channel estimation
CN118336944A (zh) * 2024-04-14 2024-07-12 惠州市双远电子科技有限公司 一种电力无线充电控制方法及系统

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Publication number Publication date
CN101036318B (zh) 2011-07-06
JP4560088B2 (ja) 2010-10-13
KR20070104570A (ko) 2007-10-26
KR100992432B1 (ko) 2010-11-08
CN101036318A (zh) 2007-09-12
JP2008526142A (ja) 2008-07-17
HK1099613A1 (en) 2007-08-17

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