Gallager译码算法的理论最优低密度奇偶校验码集成

Feng Wu, Peiwen Yu
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引用次数: 2

摘要

对于一类节点度为二项分布的低密度奇偶校验(LDPC)码集,证明了对于二进制对称信道(BSC)和Gallager解码算法a,理论上最优的LDPC码集应该是正则的。首先,在右边缘度为二项的假设下,证明了单左边缘度的LDPC阈值大于多个左边缘度的LDPC阈值;其次,我们验证了当右节点度二项分布退化为单值时LDPC阈值最大。非常有趣的是,虽然右边缘和左边缘度在理论上最优的LDPC代码集合中是唯一的,但它们是浮动值。当浮动度近似为两项二项分布时,半率下的阈值与Bazzi通过线性规划得到的结果完全相同。它从另一个角度验证了我们的证明
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Theoretically Optimal Low-Density Parity-Check Code Ensemble for Gallager's Decoding Algorithm A
For a class of low-density parity-check (LDPC) code ensembles with right node degrees as binomial distribution, this paper proves that the theoretically optimal LDPC code ensemble should be regular for a binary-symmetric channel (BSC) and Gallager’s decoding algorithm A. Our proof consists of two steps. First, with the assumption of right edge degrees as binomial, we prove that the LDPC threshold of single left edge degree is larger than that of multiple left edge degrees. Second, we verify that the LDPC threshold is the largest when binomial distribution of right node degrees degrades to single value. Very interestingly, although both right and left edge degrees are unique in the theoretically optimal LDPC code ensemble, they are floating values. When the floating degrees are approximated by a two-term binomial distribution, the threshold at half rate is exactly the same as Bazzi’s result via linear programming. It verifies our proof from another angle
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