噪声抗噪声最小和解码器的密度演化阈值

F. Cochachin, D. Declercq, E. Boutillon, L. Kessal
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引用次数: 5

摘要

在本文中,我们将抗噪声最小和(NAN-MS)解码器定义为由于故意注入噪声而包含一定量随机扰动的解码器。我们介绍了一个噪声模型,用于实现量子化纳米-质谱解码器,使用有限的精度位。利用密度演化(DE)的噪声版本研究了纳米-质谱解码器在码长渐近极限下的行为。我们使用噪声- de阈值来分析和优化噪声模型参数。我们表明,控制噪声注入使纳米-MS解码器获得比无噪声的MS解码器更好的性能,特别是在低精度时。有限长度模拟证实了DE分析的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Density evolution thresholds for noise-against-noise min-sum decoders
In this paper, we define Noise-against-Noise Min-Sum (NAN-MS) decoders as decoders that incorporate a certain amount of random perturbation due to deliberate noise injection. We introduce a noise model which is used to implement quantized NAN-MS decoders, using a limited number of precision bits. The behavior of NAN-MS decoders is investigated in the asymptotic limit of the code length using a noisy version of density evolution (DE). We use the noisy-DE thresholds to analyze and optimize the noise model parameters. We show that a controlled injection of noise allows NAN-MS decoders to achieve better performance than noiseless MS decoders, especially for low precision. The finite-length simulations confirm the conclusions of the DE analysis.
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