并行级联卷积码基于软输入硬输出的迭代译码  

Iterative decoding of parallel concatenated convolutional codes based on soft input hard output

作　　者：彭万权[1] 

机构地区：[1]重庆工程职业技术学院,重庆江津402260

出　　处：《邵阳学院学报（自然科学版）》2017年第2期23-26,31,共5页Journal of Shaoyang University：Natural Science Edition

基　　金：重庆市基础与前沿研究计划项目(cstc2013jcyj A40055)

摘　　要：以递归卷积系统码为分量码构造的并行级联卷积码具有优良的距离特性,本文提出一种新的迭代译码算法,通过引入校正因子α(n)和β(n),对viterbi译码输出和原始接收信息进行线性叠加,从而将当前的硬判决译码输出转化为下一次译码的软输入。仿真结果表明,该算法与乘积码相比,具有更强的纠错性能和更快的译码速度。Parallel concatenated convolutional codes constructed with recursive system convolutional codes as component codes have good distance characteristic.This paper presents a new iterative decoding algorithm,by introducing correction factor α（n） and β（n）,the viterbi decoding output and the original received information are linearly superimposed,and the current hard decision decoding output is converted into the soft input of the next decoding.The simulation results show that this algorithm has better error correcting performance and faster decoding speed than the product code.

关 键 词：递归系统卷积码 并行级联卷积码 迭代译码 校正因子 

分 类 号：TN911.22[电子电信—通信与信息系统]