低错层LDPC码的结构感知编码构造算法

D. Kania, W. Sułek
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引用次数: 8

摘要

设计纠错系统的一般方法是先构造一个码,然后定义编码器和解码器的硬件结构。然而,在LDPC代码(低密度奇偶校验)的情况下,这种构造的代码通常不太适合硬件实现。为了方便LDPC解码器和编码器的实现,必须同时考虑编码结构和硬件设计。本文首先设计了一种基于TDMP (turbo-decoding message passing)方案的规则和不规则LDPC码的高效解码器结构。该解码器已在FPGA器件中实现并验证。定义了适合解码器结构的码的奇偶校验矩阵的约束条件。在此基础上,提出了在这些约束条件下LDPC奇偶校验矩阵的构造算法。该算法通过采用不规则码来提高低信噪比区域码的性能,并利用计算机搜索技术减少码的坦纳图中的小停止集和小捕获集的数量,从而提高码在高信噪比区域的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Code construction algorithm for architecture aware LDPC codes with low-error-floor
The common approach for the design of an error correction system is first to construct a code and then to define the hardware structure of the encoder and decoder. However, in the case of LDPC codes (low-density parity-check) such a constructed code is generally not well suited for a hardware implementation. It has been recognized that the code construction and hardware design must be considered jointly to facilitate LDPC decoder and encoder implementation. In this paper, an efficient decoder structure for regular and irregular LDPC codes, based on TDMP (turbo-decoding message passing) scheme is designed first. The decoder has been implemented and verified in an FPGA device. Constraints for the parity check matrix of a code to be suitable for the decoder architecture are defined. Then an algorithm for LDPC parity check matrix construction subject to these constraints is presented. The algorithm aims at improving performance of the code in the low SNR region by employing irregular codes as well as in high SNR region by reducing the number of small Stopping Sets and Trapping Sets in the Tanner graph of the code making use of a computer search technique.
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