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应用科学学报 ›› 2006, Vol. 24 ›› Issue (4): 345-348.

• 论文 • 上一篇    下一篇

迭代更新信源模型参数的信源-信道联合译码

殷玮玮, 吴乐南   

  1. 东南大学无线电工程系, 江苏南京 210096
  • 收稿日期:2005-04-14 修回日期:2005-06-08 出版日期:2006-07-31 发布日期:2006-07-31
  • 作者简介:殷玮玮,博士生,研究方向:信源信道联合编码、多媒体信息处理,E-mail:yww@seu.edu.cn;吴乐南,教授,博导,研究方向:多媒体信息处理、智能信息处理、通信信号处理,E-mail:wuln@seu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(60072013)

Joint Source-Channel Decoding Based on Iterative Source Model Parameter Update

YIN Wei-wei, WU Le-nan   

  1. Department of Radio Engineering, Southeast University, Nanjing 210096, China
  • Received:2005-04-14 Revised:2005-06-08 Online:2006-07-31 Published:2006-07-31

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摘要： 提出一种在HMM基础上同时更新模型参数和译码的信源信道联合译码算法.通过接收到的含噪声信息序列以及由训练序列获得的先验知识对信源模型参数重新估计,将参数更新与联合译码过程迭代进行,一方面得到了信源序列更精确的概率结构,另一方面提高了联合译码的性能,并从信息论角度给出了信源模型参数的改善量.

关键词: 信源信道联合编译码, 隐马尔可夫模型, 迭代, Baum-Welch算法, 鉴别信息

Abstract: A joint source-channel decoding scheme implemented by simultaneously decoding and updating parameters based on HMM is proposed.First, the source parameter used in the joint source-channel decoding is updated by the a priori knowledge obtained through the training sequence and the received noisy information sequence.The joint source-channel decoding is then employed.These two steps are implemented iteratively.The iterative updating algorithm improves precision of the probability structure of the received sequence and performance of the joint source channel decoding.The degree of parameter improvement of the source model can be obtained from the perspective of the information theory.

Key words: hidden Markov model, Baum-Welch algorithm, discrimination information, joint source-channel coding/decoding, iterative

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