一种基于信息位度量改进的极化码SCLF译码算法
DOI:
CSTR:
作者:
作者单位:

重庆邮电大学光纤通信技术重点实验室

作者简介:

通讯作者:

中图分类号:

基金项目:


An Improved SCLF Decoding Algorithm Based on Information Bit Metric for Polar Codes
Author:
Affiliation:

Chongqing University of Posts and Telecommunications

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对极化码串行抵消列表(successive cancellation list, SCL)译码算法在路径决策时发生删除错误的问题,提出了一种基于信息位度量改进的翻转集(the improved flip set of the information bit metric, IBMFS)的SCL比特翻转(successive cancellation list bit-flip based on the IBMFS, IBMFS-SCLF)译码算法。该算法分析了相邻不同长度Rate-1码与发生译码错误之间的特殊关系,根据特殊关系计算较长Rate-1码中信息位度量来筛选容易发生删除错误的位置,将其加入到关键集中并按照可靠性升序排列得到IBMFS。仿真结果表明:所提出的IBMFS-SCLF译码算法相较基于修正关键集的SCLF(SCLF based on the revised critical set, RCS-SCLF)码算法与基于改进关键集的SCLF(SCLF based on the improved critical set, ICS-SCLF)译码算法有更好的误码性能和更低的复杂度。

    Abstract:

    Aiming at the path elimination error issue during path decision in successive cancellation list (SCL) decoding algorithm of polar codes, an improved SCL flip(SCLF) based on the flip set of the information bit metric(IBMFS-SCLF) decoding algorithm is proposed. The algorithm exploits the structural correlation between adjacent Rate-1 subcodes of varying lengths and their associated decoding failure patterns. Through quantitative analysis of this relationship, the information bit metric within longer Rate-1 subcodes is calculated to systematically identify error-prone bit positions. These positions are added to the critical set, which is subsequently sorted by ascending reliability metric to construct the IBMFS. Simulation results demonstrate that the proposed IBMFS-SCLF decoding algorithm has the superior error performance and lower complexity compared to SCLF based on the revised critical set(RCS-SCLF) decoding algorithm and SCLF based on the improved critical set(ICS-SCLF) decoding algorithm.

    参考文献
    相似文献
    引证文献
引用本文
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2025-05-21
  • 最后修改日期:2025-08-09
  • 录用日期:2025-08-13
  • 在线发布日期:
  • 出版日期:
文章二维码