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融合路径度量值和行重特性的Polar码SCL译码算法
周泉,陈海强,曾俏丽,廖兰娟,孙友明,黎相成
0
(1.广西大学 计算机与电子信息学院,南宁530004;2.广西多媒体通信与网络技术重点实验室,南宁530004)
摘要:
首先提出基于初始对数似然比(Log-Likelihood Ratio,LR)与路径度量值(Path Metric,PM)的PM-LLR-SCL译码算法,在接收端初始LLR和PM值之间建立映射关系,并通过重排PM值完成翻转功能。其次,提出基于极化码生成矩阵的行重特性和PM值的PM-RW-SCL译码算法,不仅考虑了Polar码的最小码距和极化子信道可靠度,同时将路径分裂每一层的PM值引入到译码策略中,从而提高了译码性能。仿真结果显示,与串行抵消列表比特翻转(Successive Cancellation List Bit-flip,SCLF)相比,提出的PM-LLR-SCL算法最大可获得约0.23 dB的性能增益,而基于路径数量的复杂度降低了约62%;与基于行权重的串行抵消列表翻转译码算法相比,PM-RW-SCL算法最大可获得约1.5 dB的性能增益,而复杂度降低了约39%。
关键词:  Polar码  串行抵消列表比特翻转译码  路径度量值  行重特性
DOI:10.20079/j.issn.1001-893x.220822005
基金项目:国家自然科学基金资助项目(62261003,61961004);广西重点研发计划项目(2021AB05081)
SCL Decoding Algorithm for Polar Code Combined with Path Metric and Row Weight Property
ZHOU Quan,CHEN Haiqiang,ZENG Qiaoli,LIAO Lanjuan,SUN Youming,LI Xiangcheng
(1.School of Computer,Electronics and Information,Guangxi University,Nanning 530004,China;2.Guangxi Key Laboratory of Multimedia Communications and Network Technology,Nanning 530004,China)
Abstract:
A Successive Cancellation List(SCL) decoding algorithm for Polar code based on initial Log-Likelihood Ratio(LLR) and Path Metric(PM),called PM-LLR-SCL,is presented.For the presented algorithm,the mapping relationship between LLR and PM is constructed.Then the flipping operation is replaced by the PM re-arrangement.Second,an SCL decoding algorithm based on the row-weight property of the generator matric and the PM,called PM-RW-SCL is further presented.The presented PM-RW-SCL algorithm not only considers the minimum-distance of the Polar code and the reliability of the sub-channel,but also introduces the PM into the decoding strategy so as to improve the decoding performance.Simulation results show that,compared with the SCL Bit-flip(SCLF),the presented PM-LLR-SCL algorithm can achieve about 0.23 dB performance gain at the most,while the complexity can be reduce by about 62%.Similarly,compared with the SCLF based on row weight,the presented PM-RW-SCL algorithm can achieve about 1.5 dB gain at the most,while the complexity can be reduce by about 39%.
Key words:  Polar code  SCLF decoding  path metric  row-weight property