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The Construction of Low-Density Parity-Check Codes Based on Protograph

机译:基于质子的低密度奇偶校验码构造

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Low-Density Parity-Check (LDPC) codes have low linear decoding complexity, which is a kind of good codes with excellent performance. Therefore, LDPC codes have great research value. This article is based on vector space over finite field as a theoretical tool by the inclusive relation of vector subspaces to construct protograph, and then constructs the LDPC codes with larger girth based on protograph by the modified progressive edge growth(M-PEG) algorithm, and utilize the related knowledge, such as Anzahl theorem in vector space, determines the code length, code rate and code word number of the LDPC codes. Moreover, the LDPC codes constructed are compared with the existing codes, and the constructed codes are better than some existing ones.
机译:低密度奇偶校验(LDPC)代码具有低线性解码复杂性,这是一种具有优异性能的好代码。 因此,LDPC代码具有很大的研究价值。 本文基于有限字段的矢量空间,作为一种理论工具,通过向量子空间构建质子图的包容性关系,然后通过修改的渐进边缘生长(M-PEG)算法,基于质子图构建具有较大周长的LDPC代码, 并利用传载空间中的相关知识,例如anzahl定理,确定LDPC代码的代码长度,码率和代码字编号。 此外,构造的LDPC代码与现有代码进行比较,并且构造的代码优于一些现有的代码。

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