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应用科学学报 ›› 2007, Vol. 25 ›› Issue (6): 598-598 .

• 论文 • 上一篇    下一篇

LDPC迭代译码联合噪声方差估计

潘小飞，刘爱军，张邦宁,王杭先   

  1. 解放军理工大学 通信工程学院, 江苏 南京 210007
  • 收稿日期:2007-01-08 修回日期:2007-07-11 出版日期:2007-11-30 发布日期:2007-11-30

Joint Iterative Decoding and Noise Variance Estimation

PAN Xiao-fei, LIU Ai-jun, ZHANG Bang-ning,WANG Hang-xian   

  1. Institute of Communications Engineering, PLA University of Science and Techology, Nanjing 210007, China
  • Received:2007-01-08 Revised:2007-07-11 Online:2007-11-30 Published:2007-11-30

被引次数

7

摘要： 基于EM算法推导了噪声方差的最大似然估计算法，并利用推导结果来修正LDPC的LOG域的置信传播译码算法，进行迭代译码联合噪声方差的估计。仿真结果表明，该文提出的噪声方差估计方法，较好地完成了噪声方差未知时LDPC迭代译码的辅助工作，使噪声方差未知时的系统误比特率性能恶化小于0.1dB。

关键词: 低密度校验码, EM算法, 噪声方差估计

Abstract: Effects of noise variance estimation on the LDPC decoding performance are investigated. Based on the algorithm of expectation-maximization (EM), a noise variance estimation method is obtained.The method is applied to the BP decoding algorithm . Simulations show that, with the proposed method, the observed performance degradation is less than 0.1dB when the noise variance is unknown.

Key words: LDPC, expectation-maximization algorithm, noise variance estimation