PEG-GLDPC码设计与性能分析

摘要

A novel generalized LDPC (GLDPC) code based on progressive edge-growth (PEG)algorithm is proposed to meet the demand of channel high coding gain in deep space communications.Based on the bipartite graph,PEG-GLDPC takes the regular LDPC constructed with modified PEG algorithm as a base matrix,and BCH is used as component code to replace single parity check codes in LDPC.PEG-GLDPC is iteratively decoded using belief propagation (BP)algorithm with a combination of trellis-based decoding of BCH.Simulation results over an (AWGN) channel indicate that the decoding performance of PEG-GLDPC is better than those of LDPC and traditional GLDPC,and it can be applied to low SNR communication systems such as deep space communication.%针对深空通信中高信道编码增益的需求,设计了一种新颖的基于按边增长(Progressive edge-growth,PEG)算法的广义低密度奇偶校验(Generalized LDPC,GLDPC)码.基于稀疏矩阵的二分图,首先改进了PEG算法用以构造规则LDPC,然后用BCH码作子码替换LDPC中的单奇偶校验码来构造PEG-GLDPC,最后重点研究了PEG-GLDPC的译码算法,提出一种联合BCH比特栅格译码与置信传播(Belief propagation,BP)算法的迭代译码机制.AWGN信道下的仿真结果表明,PEG-GLDPC译码性能优于LDPC以及传统GLDPC,适用于深空通信等低信噪比通信系统.