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空间耦合低密度奇偶校验码残差滑窗译码算法

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针对空间耦合低密度奇偶校验(SC-LDPC)码滑窗译码(SWD)算法中错误传播导致的高误码率问题,该文提出基于动态残差的滑窗译码(RSWD)算法.通过在窗口内计算边信息更新前后的残差值,动态选择可靠度最低(残差值最大)的边信息优先更新,降低边信息无效更新的频率,提高窗内译码收敛速度.仿真结果表明:相比于传统SWD算法,RSWD算法在窗口中各位置的误比特数明显降低,抑制错误传播效果明显;在高信噪比(SNR)区域或者低迭代次数的情况下,RSWD算法的误码率性能优于SWD算法;此外,将动态残差应用到消息复用(MR)和窗口扩展(WE)两种窗译码算法中,亦能得到类似结论,提升窗译码性能.
Residual Sliding Window Decoding Algorithm for Spatially-coupled Low-density Parity-check Codes
A dynamic Residual Sliding Window Decoding (RSWD) algorithm is proposed in this paper to reduce the high bit error rate caused by error propagation in the Sliding Window Decoding (SWD) algorithm for Spatially-Coupled Low-Density Parity-Check (SC-LDPC) codes. By calculating the residuals of edge information before and after updates, RSWD algorithm dynamically updates the edge of the lowest reliability (or equivalently maximum residual value) with priority, resulting in reduction in the frequency of ineffective edge updating and improvement in the convergence speed of sliding window decoding. The simulation results show that compared to the traditional SWD algorithm, the proposed RSWD algorithm successfully decreases the number of error bit at various positions in the window and shows significant effect on suppressing error propagation; in the high Signal-to-Noise Ratio (SNR) region or in the case of small number of decoding iterations, RSWD presents superior bit error rate performance to SWD; Applying dynamic residuals to both Message Reuse(MR) and Window Extension(WE) window decoding algorithms can also obtain similar observations and improve the decoding performance.

Spatially Coupled Low-Density Parity-Check (SC-LDPC) codesError propagationSliding window decodingResidual algorithm

周华、李子杰

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南京信息工程大学电子与信息工程学院 南京 210044

空间耦合低密度奇偶校验码 错误传播 滑窗译码 残差算法

国家自然科学基金国家自然科学基金

6177124862001238

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(3)
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