A Hybrid Early Decision-Probability Propagation Decoding Algorithm for Low-Density Parity-Check Codes

A. Blad, O. Gustafsson, L. Wanhammar
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引用次数: 2

Abstract

Low-density parity-check codes have recently received extensive attention as a forward error correction scheme in a wide area of applications. The decoding algorithm is inherently parallelizable, allowing communication at high speeds. One of the main disadvantages, however, is large memory requirements for interim storing of decoding data. In this paper, we investigate the performance of a hybrid decoding algorithm, using an approximating early decision algorithm and a regular probability propagation algorithm. When the early decision algorithm fails, the block is re-decoded using a probability propagation decoder. As almost all errors are detectable, the error correction performance of the hybrid algorithm is negligibly detonated. However, simulations still achieve a 32% decrease of memory accesses
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低密度奇偶校验码的混合早期决策概率传播译码算法
近年来,低密度奇偶校验码作为一种前向纠错方案在广泛的应用领域受到了广泛的关注。解码算法本身是可并行的,允许高速通信。然而,主要缺点之一是解码数据的临时存储需要大量内存。本文研究了一种采用近似早期决策算法和正则概率传播算法的混合译码算法的性能。当早期决策算法失败时,使用概率传播解码器对数据块进行重新解码。由于几乎所有的误差都是可检测的,因此混合算法的纠错性能被忽略不计。然而,模拟仍然实现了32%的内存访问减少
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