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Correcting capabilities of binary irregular LDPC code under low-complexity iterative decoding algorithm

机译:低复杂度迭代解码算法下二进制不规则LDPC码的校正能力

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This paper deals with the irregular binary low-density parity-check (LDPC) codes and two iterative low-complexity decoding algorithms. The first one is the majority error-correcting decoding algorithm, and the second one is iterative erasure-correcting decoding algorithm. The lower bounds on correcting capabilities (the guaranteed corrected error and erasure fraction respectively) of irregular LDPC code under decoding (error and erasure correcting respectively) algorithms with low-complexity were represented. These lower bounds were obtained as a result of analysis of Tanner graph representation of irregular LDPC code. The numerical results, obtained at the end of the paper for proposed lower-bounds achieved similar results for the previously known best lower-bounds for regular LDPC codes and were represented for the first time for the irregular LDPC codes.
机译:本文讨论了不规则的二进制低密度奇偶校验(LDPC)码和两种迭代的低复杂度解码算法。第一个是多数纠错解码算法,第二个是迭代纠删解码算法。给出了具有低复杂度的不规则LDPC码在解码(分别为纠错和纠删)算法下的纠错能力(分别为纠错保证和纠删分数)的下界。这些下限是通过分析不规则LDPC码的Tanner图表示得出的。在本文结尾处针对拟议的下限获得的数值结果对于常规LDPC码的先前已知的最佳下限获得了相似的结果,并且首次针对不规则LDPC码进行了表示。

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