Woven卷积码及其迭代译码算法

Woven Convolutional Codes and A New Iterative Decoding Algorithm

本文在以卷积码为分量码的串行级联码的软输入软输出(SISO)算法的基础上,提出一种模块化的用于Woven卷积码迭代译码的对数SISO算法。计算机仿真表明该算法具有收敛速度快译码性能高的特点。

Based on the Soft Input Soft Output (SISO) algorithm, which is used to iteratively decode serially concatenated codes, a new modular iterative decoding algorithm for woven convolution codes is proposed. This algorithm takes the log-likelihood ratio of a priori probability as inputs and outputs log-likelihood ratio of post a priori probability. Computer simulations demonstrate that the proposed algorithm can accelerate convergence and improve the decoding performance.