搜索低权重伪码字

M. Chertkov, M. Stepanov
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引用次数: 4

摘要

讨论了低密度奇偶校验码的信念传播(BP)和线性规划(LP)解码方法。我们总结了用于分析码的错误层域的实例/伪码字方法的结果。瞬子是一种特殊的、编码和解码特定的信道噪声配置,对帧误码率(FER)贡献最大。瞬子被解码成伪码字。最小权值的瞬时子/伪码字描述了FER的最大信噪比渐近,而低权值瞬时子的整个谱描述了扩展误差层域中的FER与SNR分布。首先,我们描述了一种通用的优化方法,可以找到任何编码/解码的实例。其次,我们引入了lp特定的伪码字搜索算法,该算法允许有效地计算伪码字谱。最后,讨论了两种模型码的BP/LP联合误差层探测实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searching for low weight pseudo-codewords
Belief propagation (BP) and linear programming (LP) decodings of low density parity check (LDPC) codes are discussed. We summarize results of instanton/pseudo-codeword approach developed for analysis of the error-floor domain of the codes. Instantons are special, code and decoding specific, configurations of the channel noise contributing most to the Frame-Error-Rate (FER). Instantons are decoded into pseudo- codewords. Instanton/pseudo-codeword with the lowest weight describes the largest Signal-to-Noise-Ratio (SNR) asymptotic of FER, while the whole spectra of the low weight instantons is descriptive of the FER vs SNR profile in the extended error-floor domain. First, we describe a general optimization method that allows to find the instantons for any coding/decoding. Second, we introduce LP-specific pseudo-codeword search algorithm that allows efficient calculations of the pseudo-codeword spectra. Finally, we discuss results of combined BP/LP error-floor exploration experiments for two model codes.
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