Multiple Flipping Strategy LISBF for LDPC Codes

Yishan Sun, Pingyang Huang, Yichun Zhang, Zhiyuan Cheng
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Abstract

The performance and complexity of low-density parity-check (LDPC) decoders have strict requirements since they are widely demanded in both communication and storage systems. Information storage bit flipping (ISBF) decoder and layered ISBF (LISBF) decoder demonstrate excellent decoding performance and throughput in which the global maximumfinding operation can be calculated in parallel to other decoding operations. However, their error-correction performance is not satisfactory. In this paper, we consider a variety of optimizations based on LISBF and propose a new algorithm named multiple flipping strategy LISBF (MLISBF). First, a high probability is adopted to flip those bits with high energy values. Second, strict flipping with a lower threshold is triggered when the syndrome weight is negligible. Then, we introduce perturbation flipping at specific iterations to help the decoder overcome trapping sets. We designed an efficient hardware implementation which realizes the layered calculation for BF decoders and reduces hardware resources for the MLISBF algorithm.
LDPC码的多重翻转策略LISBF
低密度奇偶校验译码器在通信和存储系统中有着广泛的应用,对译码器的性能和复杂度有着严格的要求。信息存储比特翻转(ISBF)解码器和分层ISBF (LISBF)解码器具有良好的译码性能和吞吐量,它们可以并行计算全局最大查找操作。然而,它们的纠错性能并不令人满意。本文考虑了基于LISBF的多种优化算法,提出了一种新的算法——多重翻转策略LISBF (multiple flip strategy LISBF, MLISBF)。首先,采用高概率翻转具有高能值的比特。其次,当综合征权重可以忽略不计时,触发较低阈值的严格翻转。然后,我们在特定的迭代中引入微扰翻转来帮助解码器克服捕获集。设计了一种高效的硬件实现,实现了BF解码器的分层计算,减少了MLISBF算法的硬件资源。
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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