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Low-complexity decoding of LDPC codes using reduced-set WBF-based algorithms

机译:使用缩小组基于WBF的算法的LDPC码的低复杂性解码

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摘要

Abstract We propose a method to substantially reduce the computational complexity of iterative decoders of low-density parity-check (LDPC) codes which are based on the weighted bit-flipping (WBF) algorithm. In this method, the WBF-based decoders are modified so that the flipping function is calculated only over a reduced set of variable nodes. An explicit expression for the achieved complexity gain is provided and it is shown that for a code of block length N, the decoding complexity is reduced from O(N 2) to O(N). Moreover, we derive an upper bound for the difference in the frame error rate of the reduced-set decoders and the original WBF-based decoders, and it is shown that the error performances of the two decoders are essentially the same.
机译:摘要我们提出了一种基本上降低基于加权比特翻转(WBF)算法的低密度奇偶校验(LDPC)代码的迭代解码器的计算复杂性的方法。在该方法中,修改了基于WBF的解码器,使得翻转函数仅在一组减小的可变节点上计算。提供了实现复杂性增益的显式表达式,并显示用于块长度N的代码,从O(n 2)到O(n)减小解码复杂度。此外,我们从缩减设定解码器和原始WBF的解码器的帧误差率的差异导出了一个上限,并且示出了两个解码器的误差性能基本相同。

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