基于HMM信源估计和LDPC的联合信源信道译码  

Joint Source-channel Decoding Based on HMM and LDPC

作　　者：王兰勋[1] 王贵贵[1] 尹超[2] 田晓燕[1] 

机构地区：[1]河北大学电子信息工程学院,河北保定071002 [2]廊坊师范学院物电学院,河北廊坊065000

出　　处：《河北大学学报（自然科学版）》2008年第2期209-213,共5页Journal of Hebei University(Natural Science Edition)

摘　　要：在信源信道联合编译码中,利用信源冗余控制信道译码是一个关键的技术.利用Baum-Welch重估算法获取隐马尔可夫信源中的残留冗余,将其作为外信息提供给LDPC进行迭代译码.仿真结果验证了这一方法可以提高LDPC码的纠错性能,加快迭代收敛速度.The using of source residual redundancy have been proven to be one critical technology in Joint source-channel coding and decoding. In this paper, Baum-Welch algorithm is used for obtaining the redundancy of Hidden Markov Source, which is transfed to LDPC for iteractive decoding as the external information. The simu- lation result shows that the method can enhances the performance of error-correcting and speeds up the convergence.

关 键 词：信源信道联合译码 隐马尔可夫信源 残留冗余 LDPC码 BP译码 

分 类 号：TN91[电子电信—通信与信息系统]