中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (2): 7-11.doi: 1005-8885 (2008) 02-0007-05

• Wireless • 上一篇    下一篇

Multistage soft decision equalization technique for MIMO systems in frequency selective channels

于江 李晓军 乐光新   

  1. Digital Communications and Networking Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2007-10-15 修回日期:1900-01-01 出版日期:2008-06-30
  • 通讯作者: 于江

Multistage soft decision equalization technique for MIMO systems in frequency selective channels

YU Jiang, LI Xiao-jun, YUE Guang-xin   

  1. Digital Communications and Networking Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2007-10-15 Revised:1900-01-01 Online:2008-06-30
  • Contact: YU Jiang, LI Xiao-jun, YUE Guang-xin

摘要:

This article proposes a multistage soft decision equalization (SDE) technique for block transmission over frequency selective multi-input multi-output (MIMO) channels. Using the Toeplitz structure, the general signal model can be converted into a series of small-sized sub-signal models. For each sub-signal model, soft interference cancellation (SIC) is used firstly to remove partial effects of interfering symbols, then max-log-MAP sphere decoder is performed to get the desired a posteriori information. Simulation shows that with lower complexity the proposed method outperforms the probability data association SDE and the Schnorr-Euchner sphere decoder.

关键词:

sphere;decoder,;SDE

Abstract:

This article proposes a multistage soft decision equalization (SDE) technique for block transmission over frequency selective multi-input multi-output (MIMO) channels. Using the Toeplitz structure, the general signal model can be converted into a series of small-sized sub-signal models. For each sub-signal model, soft interference cancellation (SIC) is used firstly to remove partial effects of interfering symbols, then max-log-MAP sphere decoder is performed to get the desired a posteriori information. Simulation shows that with lower complexity the proposed method outperforms the probability data association SDE and the Schnorr-Euchner sphere decoder.

Key words:

sphere decoder;SDE

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