Woven卷积码及其迭代译码算法  

Woven Convolutional Codes and A New Iterative Decoding Algorithm

作　　者：杜鹏[1] 毕光国[1] 

机构地区：[1]东南大学移动通信国家重点实验室,江苏南京210096

出　　处：《电路与系统学报》2003年第2期108-112,共5页Journal of Circuits and Systems

基　　金：国家863计划资助项目(2001AA123015)

摘　　要：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.

关 键 词：信道编码 WOVEN卷积码 迭代译码 软输入软输出算法 

分 类 号：TN92[电子电信—通信与信息系统]