基于自适应估计SNR的分组Turbo码译码算法  

Decoding Algorithm for Block Turbo Codes Based on Adaptive SNR Estimation

作　　者：刘星成[1] 王康[1] 黄志军[1] 

机构地区：[1]中山大学电子与通信工程系,广东广州510275

出　　处：《中山大学学报（自然科学版）》2009年第5期33-37,共5页Acta Scientiarum Naturalium Universitatis Sunyatseni

基　　金：国家自然科学基金资助项目(60673086;60970041);广东省科技计划资助项目(2006B50101003)

摘　　要：针对分组Turbo码自适应Chase译码算法中SNR是预先设定值的情况,提出一种新的自适应估计信噪比(SNR)的译码算法。该方案利用了接收码字的统计信息与SNR之间存在的对应关系来调整门限函数,达到控制译码复杂度的目的。仿真结果表明,所提出的译码算法能自适应反映信道情况,降低译码运算复杂度,提高译码处理速度,获得了较好的性能。Considering the fact that the SNR values in the adaptive Chase algorithm are prefixed in the literatures, a modified decoding algorithm for block Turbo codes was proposed, in which the level of the channel SNR was adaptively estimated. The proposed algorithm could tune the decoding complexity with aid of the relationship between the statistics of the received vectors and the channel SNR to change the threshold function. Simulation results show that the proposed algorithm decreases the decoding complexi- ty, speeds up decoding while achieving better BER performance. Furthermore, the proposed decoding algorithm can adapt to different SNR values without prefixing them.

关 键 词：分组TURBO码 迭代译码 CHASE算法 信噪比(SNR) 比特差错率(BER) 

分 类 号：TN911.22[电子电信—通信与信息系统]