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arXiv 0709.0599cs.ITmath.IT
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容量逼近LDPC系综的泛性质

On Universal Properties of Capacity-Approaching LDPC Ensembles

Igal Sason

摘要:

本文主要研究了在无记忆二进制输入输出对称(MBIOS)信道上传输的容量逼近低密度奇偶校验(LDPC)码系综的一些普适性质。通过信息论界的推导,讨论了二部图的度分布、图的复杂度和基本圈数的性质。这些界限表示的目标块/比特错误概率和差距(速率)的能力。大多数的界是一般的任何解码算法,和其他一些人证明下的置信传播(BP)解码。在一定的译码算法下证明这些界,也在任何次优译码算法下自动验证它们。这些界限的适当修改使得它们对于表现出给定容量的所有MBIOS通道的集合是通用的。度分布和图形复杂度的界限适用于有限长度的LDPC码和无限块长度的渐近情况。与BP译码下的容量逼近LDPC码系综进行了比较,结果表明该界具有信息量大、计算简单的特点。最后,考虑了一些有趣的开放问题。

英文摘要:

This paper is focused on the derivation of some universal properties of capacity-approaching low-density parity-check (LDPC) code ensembles whose transmission takes place over memoryless binary-input output-symmetric (MBIOS) channels. Properties of the degree distributions, graphical complexity and the number of fundamental cycles in the bipartite graphs are considered via the derivation of information-theoretic bounds. These bounds are expressed in terms of the target block/ bit error probability and the gap (in rate) to capacity. Most of the bounds are general for any decoding algorithm, and some others are proved under belief propagation (BP) decoding. Proving these bounds under a certain decoding algorithm, validates them automatically also under any sub-optimal decoding algorithm. A proper modification of these bounds makes them universal for the set of all MBIOS channels which exhibit a given capacity. Bounds on the degree distributions and graphical complexity apply to finite-length LDPC codes and to the asymptotic case of an infinite block length. The bounds are compared with capacity-approaching LDPC code ensembles under BP decoding, and they are shown to be informative and are easy to calculate. Finally, some interesting open problems are considered.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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