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一种提高Turbo极化码译码性能的方法

A method to improve the performance of Turbo polar codes
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摘要 针对Turbo极化码译码可能存在某些比特位无法将候选码集分为两个集合的问题,改进LiuZ等采用软串行抵消列表算法进行极化译码的处理方法,采用可估计的外部软信息绝对值的均值作为比特的外部软信息绝对值,并在外部信息输入到下个阶段迭代前,利用乘性因子对外部信息的作用进行控制.仿真结果表明,改进后的Turbo极化码译码方法,在块错误率为10-3处性能提高了0.2dB以上. Since some bits do not have two sets obtained from the candidate codeword set to estimate their external soft information in the decoders of Turbo polar decoding with successive cancellation list (SCL) decoding,a method is presented to improve the decoding performance in comparison with the work of Liu Z et al.In this method,the mean of absolute values of external soft information that can be estimated is used as the absolute value of external soft information for those bits whose external soft information cannot be estimated in each half-iteration.Besides this,the external soft information is tuned by multiplier factors to control the effect of external soft information before being input as the a priori soft information to the next half-iteration.The simulation results show that the performance with the proposed method can be improved more than 0.2 dB at the block error rate of 10-3 in comparison with Liu’s work.
作者 陈国泰 廖延初 李金赐 张赛男 吴红霞 李娟娟 张宏 CHEN Guo-tai;LIAO Yan-chu;LI jin-ci;ZHANG Sai-nan;WU Hong-xia;LI Juan-juan;ZHANG Hong(Key Laboratory of Nondestructive Testing (Fuqing Branch of Fujian Normal University),Fujian Provincial Universities, Fuzhou,Fujian 350300,China;The School of Electronic and Information Engineering,Fuqing Branch of Fujian Normal University,Fuzhou,Fujian350300,China)
出处 《宁德师范学院学报(自然科学版)》 2019年第3期251-256,267,共7页 Journal of Ningde Normal University(Natural Science)
基金 福建省自然科学基金项目(2017J01106) 福建省高校自然基金青年重点项目(JZ160489) 福建省教育厅中青年教师教育科研项目(JAT170683,JAT170684,JT180631) 福建师范大学福清分校电子与信息工程学院科研创新团队培育项目(DXKTP01) 福建省海洋经济发展补助资金项目(FJHJF-L-2019-7) 中央引导地方科技发展专项(2019L3013)
关键词 TURBO码 系统极化码 串行抵消算法 列表译码 Turbo codes systematic polar codes successive cancellation algorithm list decoding
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