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Improved Optimum-Degree Randomized LDPC Codes of Moderate Length by Welding

机译:中等长度的改进的最优度随机LDPC码的焊接

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We introduce a new method for constructing randomized low-density parity-check (LDPC) codes of moderate length, denoted Welding. The progressive edge growth (PEG) algorithm, a powerful method for constructing short and medium length codes, designs LDPC codes from optimum-degree distributions. The Welding algorithm uses these constructed codes as basis codes to create a longer code by switching edges in the code's Tanner graph randomly so that the capability of PEG is combined with the advantages of random graph codes. The Welding algorithm yields about 0.2 dB performance improvement for the AWGN channel over the other long codeword design mechanisms Lifting and PEG.
机译:我们介绍了一种构建中等长度的随机低密度奇偶校验(LDPC)码的新方法,称为Welding。渐进边缘增长(PEG)算法是一种构造短码和中长码的强大方法,它根据最佳度分布设计LDPC码。焊接算法使用这些构造的代码作为基本代码,通过随机切换代码的​​Tanner图中的边来创建更长的代码,从而将PEG的功能与随机图代码的优点结合在一起。与其他长码字设计机制Lifting和PEG相比,Welding算法对AWGN通道的性能提高了约0.2 dB。

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