北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2007, Vol. 30 ›› Issue (5): 51-54.doi: 10.13190/jbupt.200705.51.liux

• 论文 • 上一篇    下一篇

适用LDPC码的基于最小均方误差准则的改进译码算法

刘 翔, 温 娜, 徐永太, 刘宝玲   

  1. (北京邮电大学 无线新技术研究所, 北京 100876)
  • 收稿日期:2006-11-13 修回日期:2007-03-28 出版日期:2007-10-30 发布日期:2007-10-30
  • 通讯作者: 刘翔

An Improved Decoding Algorithm Based on Minimum Mean Square Error for LDPC Codes

LIU Xiang, WEN Na, XU Yong-tai, LIU Bao-ling   


  1. (Wireless Technique Innovation Institute, Beijing University of Posts and Telecommunications, Beijing 100876, China)
  • Received:2006-11-13 Revised:2007-03-28 Online:2007-10-30 Published:2007-10-30
  • Contact: LIU Xiang

摘要:

提出了一种适用于LDPC码的基于最小均方误差准则的UMP BP-based改进译码算法。该算法结合了两种UMP BP-based改进译码算法(normalized UMP BP-based译码算法和offset UMP BP-based译码算法)的处理方法,并基于最小均方误差准则得到相应的归一化因子和偏移量因子。仿真结果表明,当使用码长为1008,码率为1/2的(3,6)规则LDPC码时,所提算法和上述两种算法相比,在BER=10-6时,可以节省0.03dB。

关键词: 低密度校验码, 最小均方误差, 译码算法

Abstract:

An improved decoding algorithm based on minimum mean square error(MMSE) for LDPC codes is proposed. The new algorithm combines processing methods of two modified UMP BP-based algorithms (normalized UMP BP-based algorithm and offset UMP BP-based algorithm) and attains the corresponding normalization factor and offset factor according to MMSE criterion. Simulation results indicate that compared with the two above-mentioned algorithms a gain of 0.03 dB can be achieved at BER of 10-6 with the proposed algorithm when a (3,6) regular LDPC code of code length 1008 and code rate 1/2 is used.

Key words: low-density parity-check codes, minimum mean square error, decoding algorithm

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