用Cole改进的重要抽样法构造LDPC码

V. S. Usatjuk, S. Egorov
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引用次数: 0

摘要

研究的目的是改进Cole在LDPC码中寻找陷阱集的重要抽样方法,以加快它们的搜索速度。Cole提出了一种利用蒙特卡罗方法在LDPC码中搜索捕获集的方法,该方法导致解码算法在可能包含在捕获集中的节点上失败。他的方法使得在大信噪比区域加速研究中长度LDPC码的效率成为可能。改进后的方法利用了Tanner图的自同构特性,使得从枚举中排除大量符号节点成为可能。修改后的方法还提供了包含循环结果的子图的有序枚举。该方法使Mackay的PEG(1008,504) LDPC码中捕获集的搜索速度比Velasquez-Subramani方法快5027倍,比原来的Cole方法快43倍。在(2640,1320)LDPC马古利斯码的情况下,所提出的方法比Velasquez-Subramani拟循环方法快28倍,比原Cole方法快134倍。实验研究结果表明,该方法可以改善QC-LDPC码的连通性频谱,增加码距。这使得在AWGN信道中,在高信噪比的情况下,将解码器输出的误码概率降低几个数量级成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of LDPC Codes Using Cole's Modified Importance Sampling Method
Purpose of research is a modification of Cole's importance sampling method for finding trapping sets in an LDPC code to speed up their search.Methods. Cole proposed a method for searching for trapping sets in an LDPC code by using a Monte Carlo method that causes the decoding algorithm to fail at nodes potentially contained in trapping sets. His method makes it possible to accelerate the study of the efficiency of medium-length LDPC codes in the region of large SNRs. The modified method uses the properties of automorphisms of Tanner graphs, which make it possible to exclude a significant number of symbolic nodes from the enumeration. The modified method also provides for an ordered enumeration over subgraphs containing cycles.Results. The proposed method made it possible to speed up the search for trapping sets in Mackay's PEG(1008, 504) LDPC code by 5027 times compared to the Velasquez-Subramani method, and 43 times faster compared to the original Cole method. In the case of (2640, 1320) LDPC Margulis code, the proposed method is 28 times faster than the Velasquez-Subramani quasi-cyclic method and 134 times faster than the original Cole method.Conclusion. The result of experimental studies showed the possibility of using the developed method to improve the connectivity spectrum, increase the code distance of QC-LDPC codes. This made it possible to reduce the probability of a bit error at the decoder output by orders of magnitude at high signal-to-noise ratios in the AWGN channel.
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