基于差和比因子的低密度奇偶校验码最小和译码

M. R. Islam, K. S. Mahmood, M. M. R. Farazi, M. F. T. Oshim, M. Nazim, I. Hasan
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引用次数: 1

摘要

低密度奇偶校验码(LDPC)具有突破性的性能,已知它在足够大的块长度下接近香农极限。从历史上和最近,人们都知道LDPC比连接编码具有更好的性能。本文提出了一种改进LDPC码译码标准最小和(MS)算法的方案。这是通过在校验到比特节点更新过程中引入差分求和比率因子κ来实现的。该算法通过在MS算法的软决策基础上实现翻转比特(BF)算法的硬决策进一步扩展。仿真结果表明,与传统的MS算法相比,该算法在增加一定的复杂度的同时,在中高信噪比下具有较低的误码率(BER)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Difference to sum ratio factor based min-sum decoding for Low Density Parity Check Codes
Low Density Parity Check Codes (LDPC) give groundbreaking performance which is known to approach Shannon's limits for sufficiently large block length. Historically and recently, LDPC have been known to give superior performance than concatenated coding. In the following paper, a proposal to modify the standard Min-Sum (MS) algorithm for decoding LDPC codes is presented. This is done by introduction of a difference to sum ratio factor, κ in the check to bit node updating process. The algorithm is further extended by implementing hard decision of the Bit-Flipping (BF) algorithm over the soft decision of MS algorithm. Simulation results demonstrate that the proposed algorithms are effective in imparting a better performance in terms of a lower bit error rate (BER) at medium to high signal to noise ratio (SNR) when compared to the traditional MS algorithm while adding fair amount of complexity.
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