| Reduced-Complexity Turbo Equalization for Turbo Coded MIMO/OFDM Systems |
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| 作者姓名： | JIN Yi-dan ZHANG Feng WU Wei-lingInformation Engineering School Beijing University of Posts and Telecommunications Beijing P.R.China |
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| 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 |
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| 基金项目： | 国家科技攻关项目;中国科学院资助项目 |
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| 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…
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| 收稿时间： | 22 February 2005 |
Reduced-Complexity Turbo Equalization for Turbo Coded MIMO/OFDM Systems |
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| 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. |
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| Authors: | JIN Yi-dan ZHANG Feng WU Wei-ling |
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| Affiliation: | Information Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China |
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| 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. |
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| Keywords: | MIMO OFDM turbo equalization probabilistic data association turbo channel decoding 16QAM ISI |
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