摘要
极化码具有规则的编码方式、较好的纠错性能,成为当前纠错码领域的研究热点。连续删除列表译码算法(SCL)是一种有效的极化码译码算法。通过对SCL算法进行分析与仿真,即通过在SCL译码算法中基于对数似然比LLR和路径度量值设置两个阀值,获取影响SCL译码算法复杂度的主要因素,进而对SCL译码算法进行改进和优化。仿真结果表明,所改进的SCL算法可大幅度降低计算复杂度,速度是原SCL译码的近20倍。
Polarization code, with regular coding mode and fairly good error-correction performance, now becomes the research hotspot in the field of error-correction codes. SCL（Successive cancellation list） algorithm is an effective decoding algorithm of polarization code. By analyzing and simulating SCL algorithm, that is, by setting two thresholds that are based on LLR（log-likelihood ratio） and path metric in SCL decoding algorithm, the principal factors influencing the complexity of SCL decoding algorithm are acquired and the SCL decoding algorithm is thus modified and optimized. Experiment indicates that the modified SCL algorithm can greatly reduce the computational complexity. Simulation results show that the proposed decoding algorithm is 20 times faster than the traditional SCL decoding algorithm.
出处
《通信技术》
2017年第8期1620-1623,共4页
Communications Technology
