5G低速率LDPC码的混合译码算法

K. Sun, Ming Jiang
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引用次数: 9

摘要

提出了一种低密度奇偶校验码的混合译码算法。该算法根据检查节点的程度,采用归一化最小和(NMS)简化和线性逼近等不同的更新方案。同时,为了消除对信道方差估计的依赖,该算法采用乘法因子初始化信道输入,并采用固定的线性函数进行校验节点更新。从迭代阈值和解码模拟中可以看出,我们提出的算法以略微增加NMS算法的复杂性为代价,实现了性能的改进(更接近于信念传播解码)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hybrid Decoding Algorithm for Low-Rate LDPC codes in 5G
A hybrid decoding algorithm for low-density parity-check codes is presented. The proposed algorithm applies different updating schemes, such as the normalized min-sum (NMS) simplification and linear approximation, to the check-node based on its degree. Meanwhile, to eliminate the dependence on the channel variance estimation, the proposed algorithm adopts a multiplicative factor to initialize the channel input and a fixed linear functions for check-node updating. From the iterative thresholds and decoding simulations, our proposed algorithm can be shown to achieve improved performance (much closer to that of the belief propagation decoding) at the expense of a slight increase in complexity to NMS algorithm.
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