Codes for iterative decoding from partial geometries

Sarah J. Johnson, S. Weller
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引用次数: 17

Abstract

This work develops codes suitable for iterative decoding using the sum-product algorithm. We consider regular low-density parity-check (LDPC) codes derived from partial geometries, a large class of combinatorial structures which include several of the previously proposed algebraic constructions for LDPC codes as special cases. We derive bounds on minimum distance and rank/sub 2/(H) for codes from partial geometries, and present constructions and performance results for two classes of partial geometries which have not previously been proposed for use with iterative decoding.
从部分几何图形进行迭代解码的代码
本工作开发了适合使用和积算法进行迭代解码的代码。我们考虑由部分几何推导出的正则低密度奇偶校验码,这是一大类组合结构,其中包括一些先前提出的LDPC码的代数结构作为特殊情况。我们推导了部分几何码的最小距离和秩/子2/(H)的界限,并给出了两类部分几何码的构造和性能结果,这两类部分几何码以前没有被提出用于迭代解码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.20
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0.00%
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