Gradient descent bit-flipping based on penalty factor for decoding LDPC codes over symmetric alpha-stable noise channels

Chenyu Gao, Rongke Liu, B. Dai
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引用次数: 1

Abstract

A modified gradient descent bit-flipping (GDBF) algorithm is proposed for decoding low-density parity-check (LDPC) codes over the symmetric alpha-stable (SaS) impulsive noise channel. To simplify the log-likelihood rate (LLR) computational implement, this paper introduces a linear approximation of the LLR for the SaS impulsive noise. Combined with the linear approximation, the new algorithm introduces a penalty factor into the syndrome components of the inversion function. Simulation results show that the GDBF algorithm based on the penalty factor performs better than GDBF algorithm.
基于惩罚因子的梯度下降位翻转在对称稳定噪声信道上解码LDPC码
提出了一种改进的梯度下降比特翻转(GDBF)算法,用于在对称稳定脉冲噪声信道上解码低密度奇偶校验码。为了简化对数似然率(LLR)的计算实现,本文对SaS脉冲噪声引入了对数似然率的线性近似。该算法结合线性逼近,在逆函数的综合征分量中引入惩罚因子。仿真结果表明,基于惩罚因子的GDBF算法性能优于GDBF算法。
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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