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

机译:基于Protograph的低密度奇偶校验码的构造

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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)码具有较低的线性解码复杂度,这是一种性能优良的良好编码。因此,LDPC码具有很大的研究价值。本文以有限域上的向量空间为理论工具,通过向量子空间的包含关系来构造原型,然后通过改进的渐进边增长算法(M-PEG),在原型的基础上构造出较大周长的LDPC码,利用向量空间中的安扎尔定理等相关知识,确定LDPC码的码长,码率和码字数。此外,将所构造的LDPC码与现有码进行比较,并且所构造的码比某些现有码更好。

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