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A Modified Min-Sum Algorithm for Low-Density Parity-Check Codes

机译:低密度奇偶校验码的改进最小和算法

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摘要

A modified Min-Sum algorithm for low-density parity check codes is proposed in this paper. The inaccurate check node messages of the Min-Sum algorithm compared to the belief propagation (BP) algorithm are compensated by modified variable node messages, which is different from the normalized Min-Sum algorithm. The modified factor is obtained before decoding program and only one extra multiplication is needed in one cycle. So the increased complexity is fairly low.The simulation results show that the bit error rate (BER) and average number of iteration of the modified Min-Sum algorithm are very close to the BP algorithm, the modified algorithm can improve the BER performance compared to the Min-Sum algorithm while added complexity slightly.
机译:针对低密度奇偶校验码,提出了一种改进的最小和算法。与信念传播(BP)算法相比,Min-Sum算法的不正确校验节点消息由修改后的变量节点消息进行补偿,这与归一化的Min-Sum算法不同。修改后的因数是在对程序进行解码之前获得的,并且在一个周期内仅需要一个额外的乘法。仿真结果表明,改进的Min-Sum算法的误码率(BER)和平均迭代次数与BP算法非常接近,与BP算法相比,改进后的BER性能更好。最小和算法,同时稍微增加了复杂度。

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