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Hybrid Linear Programming Based Decoding Algorithm for LDPC Codes

机译:基于混合线性规划的LDPC码解码算法

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摘要

This paper presents a hybrid decoding algorithm for low-density parity-check (LDPC) codes based on the interior point method with barrier function for linear programming (LP) decoding introduced by Wadayama . First, an efficient implementation of Wadayama's algorithm is presented. The main idea behind the modification is to approximate the barrier function for the fundamental polytope defining the code so that it contains only one linear constraint for each of the parity-check constraints. A two-stage hybrid decoding which combines the interior point decoding and a low-complexity decoding algorithm for LDPC codes is then proposed. Simulation results show that the approximations introduced in the proposed algorithms do not result in any performance degradation, while considerably reducing the decoding complexity and latency.
机译:本文提出了一种基于和田山(Wadayama)提出的基于带障碍函数的内点方法的低密度奇偶校验(LDPC)码的混合解码算法,用于线性编程(LP)解码。首先,提出了和田山算法的有效实现。修改背后的主要思想是近似定义代码的基本多面体的障碍函数,以便对于每个奇偶校验约束仅包含一个线性约束。提出了结合LDPC码内点解码和低复杂度解码算法的两阶段混合解码。仿真结果表明,所提算法中引入的近似值不会导致任何性能下降,同时大大降低了解码复杂度和延迟。

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