并行级联卷积码基于软输入硬输出的迭代译码

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.