WO2003023999A1 - Procede de codage avec correction d'erreurs d'elements de donnees source et decodeur iteratif correspondant - Google Patents

Procede de codage avec correction d'erreurs d'elements de donnees source et decodeur iteratif correspondant Download PDF

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Publication number
WO2003023999A1
WO2003023999A1 PCT/CN2001/001296 CN0101296W WO03023999A1 WO 2003023999 A1 WO2003023999 A1 WO 2003023999A1 CN 0101296 W CN0101296 W CN 0101296W WO 03023999 A1 WO03023999 A1 WO 03023999A1
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WO
WIPO (PCT)
Prior art keywords
channel
downlink
fading factor
factor
communication system
Prior art date
Application number
PCT/CN2001/001296
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English (en)
Chinese (zh)
Inventor
Yonghui Li
Yongsheng Zhang
Original Assignee
Linkair Communications, Inc.
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 Linkair Communications, Inc. filed Critical Linkair Communications, Inc.
Priority to PCT/CN2001/001296 priority Critical patent/WO2003023999A1/fr
Priority to CN01818082.5A priority patent/CN1210888C/zh
Publication of WO2003023999A1 publication Critical patent/WO2003023999A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0056—Systems characterized by the type of code used
    • H04L1/0057—Block codes
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00—Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/29—Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes
    • H03M13/2906—Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes using block codes
    • H03M13/2909—Product codes
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00—Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H03M13/29—Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes
    • H03M13/2906—Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes using block codes
    • H03M13/2918—Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes using block codes with error correction codes in three or more dimensions, e.g. 3-dimensional product code where the bits are arranged in a cube

Definitions

  • the present invention relates to a diversity method and a diversity device for a wireless communication system, and particularly to a transmission diversity method and a transmission diversity device suitable for a time division duplex (TDD) communication system.
  • TDD time division duplex
  • the quality of the connection between different transceivers in a wireless communication system is constantly changing. For example, in densely populated areas, buildings and other obstacles scatter signals, and due to the interaction of n input waveforms, the antenna The received signal will suffer fast fading and deep fading, and channel fading is one of the main factors that degrade system performance.
  • the main method used to overcome the effects of fading is diversity technology, which is used to reduce the effects of fading. Without increasing the transmitter power or channel bandwidth, the reliability of the system is improved.
  • Diversity technologies common in existing systems mainly include transmit diversity and receive diversity. This article will focus on transmit diversity techniques.
  • STTD Space Time Transmitter Diversity
  • OTD Orthogonal Transmitter Diversity
  • T switched TD Time Switched Transmitter Diversity
  • STD Selective Transmitter Diversity
  • STTD, OTD, and T switched TD are all open-loop modes.
  • STD uses a half-open-loop mode, that is, the transmit diversity of the base station needs to select the downlink antenna according to the uplink data sent by the mobile station.
  • the base station since the continuous pilot signal is used for channel estimation and demodulation, the base station also needs to provide a downlink instruction to notify the mobile station which pilot channel should be used for demodulation.
  • the present invention proposes a transmit diversity method and a transmit diversity device that can improve the transmit performance.
  • a transmit diversity method for a time division duplex communication system including the following steps: S1.
  • the base station of the time division duplex communication system measures a fading factor on a common channel;
  • S2 Initially select the antenna for downlink transmission according to the measurement results, and use the selected antenna for the first downlink data transmission; S3.
  • the mobile station that has received the downlink data sent by the base station uploads the quality information of the used channel and feeds it back to The base station; S4.
  • the base station performs channel estimation according to the received uplink data and calculates the fading factor of the uplink; S5.
  • the base station> predicts the downlink according to the uplink channel estimation result The fading factor of the channel; the base station in S6 chooses to send downlink data on the corresponding antenna according to the prediction result; and repeats steps S3 to S6 until all the downlink data is sent.
  • a transmission diversity device for a time division silent communication system including: a base station receiver, configured to receive uplink data, and despread and demodulate the received data, And perform channel estimation; at least two antennas; a downlink signal generator configured to complete the transmission of a service signal and a pilot signal; a fading factor predictor, configured to estimate an uplink fading factor, and predict each A downlink fading factor corresponding to the antenna; an antenna selector, according to the downlink fading factor predicted by the fading factor predictor, selecting an antenna with a larger fading factor among the above antennas will occur from the downlink signal The data to be sent received by the router is sent out.
  • the downlink fading factor can be correctly estimated due to the use of prediction technology, while the traditional STD simply uses the reverse fading factor to select the forward transmission, and No predictions were made, so the method of the invention Antennas can be selected more accurately than STD. Because the dedicated pilot channel is used for demodulation, the present invention no longer needs forward and reverse instruction instructions, saves the transmission of control instructions, and can achieve the performance that can be achieved by using a closed-loop STD system.
  • the transmit diversity method and the transmit diversity device according to the present invention can be applied to any wireless system in which transceivers communicate with each other through a wireless link.
  • One such wireless system may be a cellular wireless system, which generally includes multiple cells, and each cell includes a base station that communicates with user terminals in its area. At each base station, at least two or more antennas are used to send signals. .
  • the present invention is described below by taking a cellular wireless communication system, more specifically, a base station device of the system as an example, but the present invention is not limited thereto.
  • the base station uses multiple antennas, so the performance of the base station can be optimized by using the base station receiving diversity technology, and the performance of the mobile station can be optimized by using the base station transmitting diversity.
  • the receiver can achieve diversity effect by using time-space diversity receiver, and overcome the influence of fading to effectively improve the system performance.
  • this solution presents a new type of transmit diversity technology suitable for TDD systems, namely STSTD (Smart Time Seized Transmitt Diversity), which uses advanced prediction technology for adaptive transmission antenna selection.
  • STSTD Smart Time Seized Transmitt Diversity
  • This technique uses an open-loop model, but can achieve the performance of a closed-loop system.
  • STSTD has the following main advantages.
  • the fading factor of the forward channel is used to estimate the fading factor of the forward channel, so that the transmitting antenna can be adaptively selected at the transmitting end according to these estimated fading factors. (This is where the STSTD name comes from).
  • the downlink uses dedicated pilot channels for channel estimation and demodulation.
  • the first advantage is that STSTD can use the advanced prediction technology, so it can correctly The downlink fading factor is estimated, and the traditional STD simply uses the reverse fading factor to select the forward transmission without any prediction. Therefore, STSTD selects the antenna more accurately than STD. '
  • the second advantage is that STSTD does not need a forward indication command because it uses dedicated pilot demodulation. For a mobile station, it does not need to care which antenna the base station uses to transmit, so compared to STD, it can save the transmission of control instructions.
  • the third advantage is that STSTD uses an open-loop mode, but achieves the performance that can be achieved with a closed-loop STD system.
  • FIG. 1 shows the channel usage of the method of the present invention.
  • Fig. 2 shows a schematic diagram of a transmit diversity device according to the present invention.
  • Fig. 3 shows a working flowchart for implementing the method of the present invention.
  • Figure 4 shows the structure of an LMS predictor used to implement the method of the present invention.
  • Figure 5 shows the algorithm principle of the LMS adaptive filter implementing the method of the present invention.
  • FIG. 6 shows a flowchart of the implementation of the LMS prediction algorithm in the method of the present invention. detailed description
  • FIG. 1 shows a channel situation used by the method of the present invention.
  • the downlink signal sent by the base transceiver station 101 is transmitted in the downlink via at least two antennas (two antennas in this embodiment, that is, antenna 102 or antenna 103).
  • the mobile station transceiver 1 05 is received via antenna 1 04.
  • a number of dedicated pilot channels are designed in the logical channel between the base station transceiver 1 01 and the mobile station transceiver 1 05, which are divided into uplink and downlink dedicated pilot channels, and pilot signals transmitted through the dedicated pilot channels.
  • Channel estimation and demodulation; and several The uplink and downlink traffic channels are used for uplink and downlink data transmission.
  • FIG. 2 shows a schematic diagram of an STSTD transmission diversity device according to the present invention, which mainly shows a simplified base station transceiver 101, including a base station receiver 204, a fading factor predictor 203, an antenna selector 202, at least Two antennas 102 and 103 and a downlink signal generator 201.
  • the base station receiver 204 After receiving the uplink data, the base station receiver 204 first performs despreading, demodulation, and then performs channel estimation.
  • the fading factor of the uplink channel is estimated in the fading factor predictor 203, and then the fading factor predictor 203 uses the estimated uplink
  • the channel fading factor (as the training sequence of the predictor) is used to predict the fading factor of the downlink channel corresponding to each antenna.
  • This prediction can be implemented by LMS, RLS prediction, or other prediction techniques.
  • the fading factor predictor 203 sends the prediction result to the antenna selector 202, and in the downlink signal generator 201, the data to be sent is also sent to the antenna selector 202 via the uplink dedicated pilot channel and the uplink traffic channel.
  • the selector 202 will select the antenna with a larger fading factor value to send the data in the downlink signal generator 201 according to the prediction results of the at least two antenna fading factors.
  • FIG. 3 shows a working flowchart for implementing the method STSTD of the present invention.
  • step S1 When the base station wants to send data, first measure the fading factor on the common channel, that is, the quality of the channel (step S1); initially select the antenna for downlink transmission according to the measurement result, and use the selected antenna for the first downlink data transmission (Ste S2); the mobile station that has received the downlink data sent by the base station uploads the quality information of the used channel to the base station (step S3); the base station performs channel estimation based on the received uplink data, and calculates the channel The uplink fading factor (step S4); the base station predicts the downlink fading factor according to the uplink channel estimation result (step S5); the base station selects to send the downlink on the corresponding antenna according to the prediction result Data (step S6); repeating the steps S3 to S6 until all the downlink data has been sent (step S7).
  • a dedicated pilot channel is used for channel estimation and demodulation on the downlink channel.
  • FIG. 4 shows the structure of a fading factor predictor 203 according to the present invention.
  • the fading factor predictor 203 mainly includes a device (not shown) for estimating an uplink fading factor, and an input filter 402, which is used to average the input signals, thereby improving the signal-to-noise ratio; the source filtering A device 403 is configured to predict an input source signal; and an LMS prediction and filtering device 404 is configured to perform LMS filtering on a result of the source prediction.
  • the fading factor predictor 203 first sends the estimated fading factor of the uplink channel into the input filter 402 as a training sequence, and the data output from the filter 402 is sent to the source predictor 403 for signal processing.
  • the linear prediction of the source is then output to the LMS prediction and filtering device 404 to complete the prediction.
  • a first-order LMS linear prediction algorithm is adopted, which is mainly implemented by using the following formula. , ( 1 )
  • X t is the estimated fading factor in the uplink channel
  • Y t is the predicted fading factor in the downlink channel
  • D t is the desired value of the fading factor Y t in the downlink channel
  • [mu] is a gain factor, is the difference between the desired value of the fading factor Y t D t of the downlink channel fading factor of the downlink channel Y t
  • X t _i source is the output of predictor 403 ;
  • P represents the order of the LMS prediction and filtering device, which consists of P shift registers, and therefore has P tap coefficients;
  • t represents the time index of the signal sequence, and i represents the i-th tap coefficient.
  • the present invention also proposes an improved method for the LMS algorithm, that is, an adaptive gain normalization and sequential regression algorithm (AGMSR).
  • AGMSR adaptive gain normalization and sequential regression algorithm
  • the convergence speed of the LMS algorithm largely depends on the gain factor ⁇ .
  • the inventor introduced the AGMSR algorithm. This method uses gain normalization to overcome non-stationarity in fast-fading channels.
  • the easiest way to normalize the variance is to normalize the gain factor using the variance of the input signal of the received LMS filter.
  • ⁇ ⁇ + ⁇ , + 2 ⁇ ( ⁇ ⁇ ) e, X t
  • a is the coefficient of the exponentially weighted filter. It depends on the application conditions. If the channel correlation is strong and the channel changes slowly, the value of a should be larger, otherwise it should be smaller.
  • T is the normalized gain factor.
  • 1 represents the time index of the input sequence, and 2
  • the estimated variance value ( ⁇ represents the estimated value, and the subscript t represents the variance is time-varying, that is, its value changes with time)
  • ⁇ ⁇ 2 represents the stationary condition (That is, ⁇ ⁇ 2 does not change with time) ideal variance value
  • ⁇ ⁇ , t 2 represents the ideal variance value under non-stationary conditions (that is, ⁇ ⁇ 2 changes with time).
  • ⁇ 2 is a constant.
  • FIG. 6 shows a flowchart of implementing an LMS prediction algorithm in the STSTD transmit diversity method of the present invention.
  • steps S51 to S56 are detailed descriptions of step 5 in FIG. 3.
  • the uplink fading factor is calculated in step S4; then, the estimated fading factor of the uplink channel is first sent to the input filter 402 of the LMS fading factor predictor as a training sequence (step S5 1); from the input
  • the data output from the filter 402 is sent to the source predictor 403 of the LMS (step S52); according to the output signal of the source predictor 403, the LMS predictor sets the initial values X 0 , ⁇ required for the iteration of the LMS prediction algorithm.
  • step S54 iterative operation is performed according to the above formulas (1), (2), (3); in step S55, gain normalization is used to overcome the non-fading in the fast fading channel Stationarity; then, all prediction values in one subframe are accumulated as a basis for selecting a base station antenna (step S56).

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Radio Transmission System (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Procédé de construction de codes de correction d'erreurs basé sur un codage étendu de codes produits, caractérisé en ce que les opérations de codage étendu, consécutives au codage des données d'entrée en dimension N des codes produits, sont mises en oeuvre dans des dimensions M (1≤M≤N). Le codage étendu comprend des opérations d'assemblage et d'aménagement. Chaque groupe d'opérations de codage étendu comporte un ensemble de symboles de vérification, les nouveaux codes de correction d'erreurs étant construits par l'assemblage des M groupes de symboles de vérification obtenus avec les codes produits originaux en dimension N. L'invention concerne aussi un procédé de décodage itératif correspondant, le décodeur itératif se composant d'une pluralité d'éléments décodeurs ; chaque élément décodeur contient une unité de décodage à entrée et sortie pondérées, et éventuellement une unité de désassemblage et de réaménagement, qui correspond au code constitutif des codes produits originaux ou codage étendu. L'interconnexion entre les éléments décodeurs respectifs peut être série, parallèle ou sous une forme combinée ; chaque étage d'élément décodeur utilise les signaux de sortie de tout ou partie des éléments décodeurs, qui sont ajoutés comme données a priori au participant de cet étage de décodage. L'analyse et l'émulation indiquent que les codes correcteurs d'erreurs et le présent procédé de décodage répondent aux besoins en matière de débit de codes, de longueurs de codes et de conditions de performances ; divers modes de réalisation peuvent en outre être utilisés selon les situations, telles que niveau de mise en parallèle, volume de calcul, besoins en retard de décodage, etc..
PCT/CN2001/001296 2001-08-31 2001-08-31 Procede de codage avec correction d'erreurs d'elements de donnees source et decodeur iteratif correspondant WO2003023999A1 (fr)

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PCT/CN2001/001296 WO2003023999A1 (fr) 2001-08-31 2001-08-31 Procede de codage avec correction d'erreurs d'elements de donnees source et decodeur iteratif correspondant
CN01818082.5A CN1210888C (zh) 2001-08-31 2001-08-31 发射分集方法和发射分集设备

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Cited By (1)

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Publication number Priority date Publication date Assignee Title
CN114039640A (zh) * 2021-07-28 2022-02-11 亚太卫星宽带通信（深圳）有限公司 一种适用于Ka频段的移动卫星基带信道模拟系统

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US20070041322A1 (en) * 2005-01-12 2007-02-22 Won-Joon Choi Rate adaptation using semi-open loop technique
CN101282198B (zh) * 2007-04-05 2012-03-28 电信科学技术研究院 一种时分双工tdd系统中的上行多天线传输方法及终端
CN101582710B (zh) * 2008-05-14 2012-08-01 电信科学技术研究院 一种天线模式选择方法、系统及装置

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US5924022A (en) * 1995-09-15 1999-07-13 Pcs Microcell International RF repeater for TDMA mobile telephone systems
CN1253430A (zh) * 1998-11-10 2000-05-17 朗迅科技公司 用于无线电链路的发射分集和接收均衡
US6088570A (en) * 1998-11-24 2000-07-11 Airnet Communications Corporation Method and apparatus employing delay elements in multiple diversity paths of a wireless system repeater translator to allow for selective diversity and automatic level control in a time-division multiple access system

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Publication number Priority date Publication date Assignee Title
US5924022A (en) * 1995-09-15 1999-07-13 Pcs Microcell International RF repeater for TDMA mobile telephone systems
CN1253430A (zh) * 1998-11-10 2000-05-17 朗迅科技公司 用于无线电链路的发射分集和接收均衡
US6088570A (en) * 1998-11-24 2000-07-11 Airnet Communications Corporation Method and apparatus employing delay elements in multiple diversity paths of a wireless system repeater translator to allow for selective diversity and automatic level control in a time-division multiple access system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114039640A (zh) * 2021-07-28 2022-02-11 亚太卫星宽带通信（深圳）有限公司 一种适用于Ka频段的移动卫星基带信道模拟系统
CN114039640B (zh) * 2021-07-28 2024-05-14 亚太卫星宽带通信（深圳）有限公司 一种适用于Ka频段的移动卫星基带信道模拟系统

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CN1471766A (zh) 2004-01-28
CN1210888C (zh) 2005-07-13

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