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Reduced-Complexity Turbo Equalization for Turbo Coded MIMO/OFDM Systems
作者姓名:JIN Yi-dan  ZHANG Feng  WU Wei-lingInformation Engineering School  Beijing University of Posts and Telecommunications  Beijing  P.R.China
作者单位:JIN Yi-dan,ZHANG Feng,WU Wei-lingInformation Engineering School,Beijing University of Posts and Telecommunications,Beijing 100876,P.R.China
基金项目:国家科技攻关项目;中国科学院资助项目
摘    要:1IntroductionTowards wireless systems Beyondthe3G(B3G),it isa great challenge for the physical layer to support high-speed transmissioninthe mobile environment to providecomfortable Internet access.Multiple Input MultipleOutput(MI MO)technique is effectiv…

收稿时间:22 February 2005

Reduced-Complexity Turbo Equalization for Turbo Coded MIMO/OFDM Systems
JIN Yi-dan,ZHANG Feng,WU Wei-lingInformation Engineering School,Beijing University of Posts and Telecommunications,Beijing ,P.R.China.Reduced-Complexity Turbo Equalization for Turbo Coded MIMO/OFDM Systems[J].The Journal of China Universities of Posts and Telecommunications,2006,13(1):93-98.
Authors:JIN Yi-dan  ZHANG Feng  WU Wei-ling
Affiliation:Information Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China
Abstract:This paper derives a low-complexity turbo equalization algorithm for turbo coded multiple input multiple output/ orthogonal frequency division multiplexing systems. This algorithm consists of soft-output decision-feedback equalization with a probabilistic data association algorithm and a soft-input soft-output turbo channel decoder using iterative operations. In each iteration, extrinsic information extracted from the probabilistic data association algorithm detector and from the channel decoder is used as the prior information for the next iteration to realize iterative channel equalization and channel decoding. Our simulation results show that the algorithm improves the signal noise ratio around 1 dB with bit error rate reaching 10-6 when the Eb/No = 4 dB compared to minimum mean square error and match filter, and can greatly reduce the intersymbol interference at a low overall complexity of O( N3) after 2 iterations.
Keywords:MIMO  OFDM  turbo equalization  probabilistic data association  turbo channel decoding  16QAM  ISI
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