吴皓威^{1, 2, 3,,},
武小飞²,
邹润秋²,
欧静兰^{2, 3}
1.重庆大学通信与测控中心 重庆 400044
2.重庆大学微电子与通信工程学院 重庆 400044
3.空天地网络互连与信息融合重庆市重点实验室 重庆 400044
基金项目:民用航天十三五预研项目(D010201)，国家留学基金委项目(201908505018)，重庆市科技人才专项资助项目(cstc2018zdcy-yszxX0001, cstc2017zdcy-yszx0008)

详细信息

作者简介:吴皓威：男，1981年生，副研究员，博士生导师，主要研究方向为宽带无线通信、飞行器测控与组网等
武小飞：男，1992年生，硕士生，研究方向为信道编解码技术、无线局域网等
邹润秋：女，1994年生，硕士生，研究方向为信道编解码技术、无线局域网等
欧静兰：女，1981年生，副教授，硕士生导师，主要研究方向为宽带通信、中继通信等

通讯作者:吴皓威　wuhaowei@cqu.edu.cn

中图分类号:TN911.22

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出版历程

收稿日期:2019-08-14
修回日期:2020-03-14
网络出版日期:2020-04-23
刊出日期:2020-08-18

A Layered Decoding Algorithm for Spatially-coupled LDPC Codes

Haowei WU^{1, 2, 3,,},
Xiaofei WU²,
Runqiu ZOU²,
Jinglan OU^{2, 3}
1. Centre of Communication and TTC, Chongqing University, Chongqing 400044, China
2. College of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
3. Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion, Chongqing University, Chongqing 400044, China
Funds:The Advanced Research Project of Civil Aerospace Technologies in 13th Five-year Plan (D010201), The Scholarship Council of China (201908505018), The Special Foundation for Chongqing Science and Technology Talent (cstc2018zdcy-yszxX0001, cstc2017zdcy-yszx0008)


摘要
摘要:针对长码长空间耦合低密度奇偶校验(SC-LDPC)码译码时延较长的问题，该文提出了分层滑动窗译码(LSWD)算法。该算法利用SC-LDPC子码码块的准循环特性和滑动窗内校验矩阵的层次结构，通过在滑动窗内对校验矩阵进行分层处理，优化层与层之间消息传递，从而加快窗内译码的收敛速度，减少了译码迭代次数。仿真和分析结果表明：在相同的信噪比(SNR)条件和相同的误码性能要求下，LSWD算法所需的迭代次数少于滑动窗译码(SWD)算法，特别在高信噪比下，LSWD算法的迭代次数约为SWD算法的一半，从而有效缩短全局译码时延；在相同译码迭代次数下，LSWD算法的译码性能优于SWD算法，而其计算复杂度增加不大。
关键词:空间耦合低密度奇偶校验码/
分层算法/
译码延时/
滑动窗
Abstract:In order to solve the problem of the long decoding delay for the Spatially-Coupled Low-Density Parity-Check (SC-LDPC) code with long code length, a Layered Sliding Window Decoding (LSWD) algorithm is proposed. By exploring the quasi-cyclic characteristics of the SC-LDPC sub-codeblock and the hierarchical structure of the check matrix in the sliding window, the part of check matrix in the sliding window is layered to optimize the message transfer between two neighbor layers, with the aim of accelerating the convergence of the iterative procedure and reducing the number of decoding iterations. Simulation and analysis results show that the number of iterations in the proposed LSWD algorithm is less than that in the SWD, under the same Signal-to-Noise Ratio (SNR) and the bit error ratio. In the high SNR region, especially, the number of iterations in the proposed LSWD is about half of that in the SWD, hence the global decoding delay of the former is effectively shorten. In addition, the decoding performance of the LSWD algorithm is better than the SWD algorithm under the same number of decoding iterations, and the overall computational complexity is slightly increased.
Key words:Spatially-Coupled Low-Density Parity-Check (SC-LDPC)/
Layered algorithm/
Decoding delay/
Sliding window



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