基于隐马尔科夫模型的多元LDPC联合译码

›› 2013, Vol. 26 ›› Issue (8): 4-.

基于隐马尔科夫模型的多元LDPC联合译码

赵旦峰,王诗力,周相超

(哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨 150001)

出版日期:2013-08-15 发布日期:2013-09-25
作者简介:王诗力(1987—),男,硕士研究生。研究方向:信道编译码,信源编译码。E-mail:lelewsl@sina.com

Joint Decoding of Non-binary LDPC Code Based on HMM

ZHAO Danfeng,WANG Shili,ZHOU Xiangchao

(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)

Online:2013-08-15 Published:2013-09-25

摘要/Abstract

摘要：

采用隐马尔科夫模型对信源估计,对基于多进制LDPC码的联合信源信道译码算法展开研究。该算法通过对传统的多进制LDPC译码算法的改进,在迭代过程中加入通过估计算法得到的信源冗余,校正了迭代软信息,提高译码性能。仿真结果表明,在AWGN信道中,改进算法相比传统译码算法性能优越。

关键词: 隐马尔科夫模型;多进制LDPC码;信源信道联合译码

Abstract:

This paper focuses on the joint source-channel decoding algorithm based on Non-binary LDPC code,by source estimation of HMM.Aiming at augmenting the performance,this algorithm improves the conventional decoding algorithm of Non-binary LDPC code by adding source redundancy estimated and modifying the iterative soft information in the iterative process.The result of emulation shows its superiority over conventional methods in AWGN channel.

Key words: hidden markov model;non binary LDPC code;joint source channel decoding

中图分类号:

TN93

赵旦峰,王诗力,周相超. 基于隐马尔科夫模型的多元LDPC联合译码[J]. , 2013, 26(8): 4-.

ZHAO Danfeng,WANG Shili,ZHOU Xiangchao. Joint Decoding of Non-binary LDPC Code Based on HMM[J]. , 2013, 26(8): 4-.