基于变量节点更新的LDPC码加权比特翻转译码算法

Weighted Bit-flipping Decoding Algorithm for LDPC Codes Based on Updating of Variable Nodes

该文提出一种改进的低密度奇偶校验(Low Density Parity-Check,LDPC)码的加权比特翻转译码算法。该算法引入了变量节点的更新规则,对翻转函数的计算更加精确,同时能够有效弱化环路振荡引起的误码。仿真结果表明,与已有的基于幅度和的加权比特翻转译码算法(SMWBF)相比,在加性高斯白噪声信道下,该文算法在复杂度增加很小的情况下获得了误码率性能的有效提升。

An improved weighted bit-flipping decoding algorithm for LDPC codes is presented. The proposed algorithm introduces an updating rule for variable nodes to efficiently improve the reliability of the flipped bits and reduces the error codes caused by the oscillation of the loops. Simulation results show that the proposed algorithm achieves better BER performance than the Sum of Magnitude based Weighted Bit-Flipping（SMWBF） decoding algorithm over the additive white Gaussian noise channel with only a small increase in computational complexity.