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A Novel Method tor Construction of Structured Regular LDPC Codes with Girth Twelve Using Gray Code Representations

机译:用格雷码表示法构造十二周长的规则LDPC码的新方法

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The Low-Density Parity-Check (LDPC) code is a linear block code specified by a parity-check matrix H. The construction process of LDPC codes considers the parameters such as row and column-weights, rate, girth, and code length. Regularity of the codes provides the advantage like simplicity of hardware implementation and fast encoding. Large girth speeds the convergence of iterative decoding and improves performance. To increase girth of a code and avoid short cycles, the parity-check matrix H must be sufficiently sparse, and hence, the block length must be large. Hence, there is a need to develop method of constructing LDPC codes over a wide range of lengths, rates, and girths. In this paper, we introduce a novel method for constructing structured regular LDPC codes with different densities, rates, lengths, and girths using Gray-code representations. The advantage of this algorithm compared to other methods is its flexibility in terms of rates, lengths, and girths. LDPC codes with column-weight two have low computational complexity and are promising for data storage and partial response channels. Hence, a modified version of proposed algorithm, to construct a column-weight two LDPC codes with girth 8 and 12, is also presented in this paper.
机译:低密度奇偶校验(LDPC)码是由奇偶校验矩阵H指定的线性块码。LDPC码的构造过程考虑诸如行和列权重,速率,周长和代码长度之类的参数。代码的规则性提供了诸如硬件实现简单和快速编码之类的优势。大的周长可加快迭代解码的收敛速度,并提高性能。为了增加代码的周长并避免短周期,奇偶校验矩阵H必须足够稀疏,因此,块长度必须较大。因此,需要开发一种在很宽的长度,速率和周长范围内构造LDPC码的方法。在本文中,我们介绍了一种使用格雷码表示法构造具有不同密度,速率,长度和周长的结构化常规LDPC码的新方法。与其他方法相比,该算法的优势在于它在速率,长度和周长方面的灵活性。列权重为2的LDPC码的计算复杂度较低,有望用于数据存储和部分响应通道。因此,本文还提出了该算法的改进版本,以构造具有两个围长为8和12的列权重LDPC码。

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