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An improvement of decoding time of ordered statistic decoding for medium length LDPC codes

机译:媒体长度LDPC码有序统计解码解码时间的改进

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It is well-known that the Sum-Product Algorithm (SPA) is an efficient algorithm for decoding Low Density Parity Check (LDPC) codes. In spite of this, for LDPC codes with medium length which are now attracting interests for the application to fifth generation systems, it is known that decoding error rate is much inferior to that of Maximum Likelihood Decoding (MLD). In this paper, we improve bit error rate of SPA with so called Ordered Statistic Decoding (OSD) method by Fossorier [1]D Especially, we improve stopping condition of combinatorial search in OSD method and demonstrate by simulation that the proposal stopping condition is more efficient compared to Fossorier (IEEE J. Sel. Areas Commun., 19, 2001). For that purpose, we introduce a conception “coincidence rate” which plays an important role.
机译:众所周知,总和 - 产品算法(SPA)是用于解码低密度奇偶校验(LDPC)代码的有效算法。尽管如此,对于具有媒体长度的LDPC代码,其现在吸引到第五代系统的应用兴趣,已知解码误差率远低于最大似然解码(MLD)。在本文中,我们通过FOSSORIER [1] D,提高SPA的误码率与所谓的订购统计解码(OSD)方法,特别是,我们改善了OSD方法中组合搜索的停止条件,并通过模拟来展示提案停止条件更大与FOSSORIER相比有效(IEEE J. SEL。地区的公共区域。,19,2001)。为此目的,我们介绍了一个概念“巧合率”,起到了重要作用。

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