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Thresholds of precoded (3,6) LDPC codes under iterative and maximum-likelihood decodings

机译:迭代和最大似然解码下的预编码(3,6)LDPC码的阈值

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The technique of precoding is recently applied to low-density parity-check (LDPC) codes by Divsalar et al, resulting in precoded LDPC codes. It is shown that precoding can improve not only the iterative decoding thresholds of regular LDPC codes but also their maximum-likelihood (ML) decoding thresholds. In this paper, we consider thresholds of precoded (3,6) LDPC codes under both iterative and ML decodings. For iterative decoding, the tool of EXIT charts is employed. With the EXIT chart, thresholds of precoded (3,6) LDPC codes with different precoding ratios are obtained. It is shown that the iterative decoding threshold is reduced with the increase of the precoding ratio until the precoding ratio reaches at 0.25. When the precoding ratio is greater than 0.25, the increase of precoding ratio may impair the iterative decoding threshold. Thus, the optimal precoding ratio under iterative decoding is revealed to be 0.25, i.e., half of the information bits are to be precoded. For ML decoding analysis, we first drive the asymptotic ensemble distance spectrum of precoded (3,6) LDPC codes. Using the derived asymptotic ensemble distance spectrum along with Divsalar's simple bound, we calculate the thresholds of precoded (3,6) LDPC codes with different precoding ratios under ML decoding. It is shown that the increase of precoding ratio always leads to an improved ML decoding threshold and thus the optimal ML decoding threshold is achieved at a precoding ratio of 0.5, i.e., all information bits are to be precoded.
机译:Divsalar等人最近将预编码技术应用于低密度奇偶校验(LDPC)码,从而产生了预编码LDPC码。结果表明,预编码不仅可以改善常规LDPC码的迭代解码阈值,而且可以改善其最大似然(ML)解码阈值。在本文中,我们考虑了迭代和ML解码下预编码的(3,6)LDPC码的阈值。对于迭代解码,使用EXIT图工具。利用EXIT图,获得具有不同预编码率的预编码(3,6)LDPC码的阈值。可以看出,随着预编码率的增加,迭代解码阈值减小,直到预编码率达到0.25。当预编码比大于0.25时,预编码比的增加可能损害迭代解码阈值。因此,在迭代解码下的最佳预编码比率被揭示为0.25,即一半的信息比特将被预编码。对于ML解码分析,我们首先驱动预编码的(3,6)LDPC码的渐近整体距离谱。使用派生的渐近整体距离谱和Divsalar的简单界限,我们计算了在ML解码下具有不同预编码率的预编码(3,6)LDPC码的阈值。示出了预编码率的增加总是导致改善的ML解码阈值,并且因此以0.5的预编码率实现最优的ML解码阈值,即,所有信息比特将被预编码。

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