通过 ACE-PEG 算法设计基于双原图 LDPC 码的 JSCC 系统

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Science China Information Sciences Pub Date : 2024-06-27 DOI:10.1007/s11432-024-4074-y
Yijie Lv, Jiguang He, Shaohua Hong
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引用次数: 0

摘要

本研究提出了一种通过 ACE-PEG 算法为 JSCC 系统设计 DP-LDPC 码的新方法。与传统的基矩阵相比,设计的基矩阵包含更多的高阶 VN,从而通过 ACE-PEG 算法增加了循环集和/或停止集与 Tanner 图剩余部分之间的信息量。仿真结果表明,与最新文献中选定的基准方案相比,所提出的 DP-LDPC 代码设计方法在瀑布区和误差底限区都获得了显著的性能提升。
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Design of double protograph LDPC codes based JSCC systems via the ACE-PEG algorithm

In this work, a novel design method of DP-LDPC codes for the JSCC system via the ACE-PEG algorithm has been proposed. The designed base matrix contains more higher-degree VNs than the conventional ones, and thus increases the amount of message between the cycles and/or stopping sets and the remaining part of the Tanner graph via the ACE-PEG algorithm. Simulation results have demonstrated that the proposed design approach of DP-LDPC codes obtains significant performance enhancement in both waterfall and error-floor regions compared to the selected benchmark schemes from the latest literature.

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来源期刊
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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