机构地区: 东南大学信息科学与工程学院移动通信国家重点实验室
出 处: 《电路与系统学报》 2003年第2期108-112,共5页
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.