大周长拟循环原形LDPC码的改进PEG算法

Xueqin Jiang, M. Lee, Huiming Wang, Jun Li, Miaowen Wen
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引用次数: 8

摘要

对于给定的基图,原型图可以通过复制-置换过程得到。如果排列是循环的,则原型对应于准循环(QC)原型LDPC码。QC原型LDPC码的周长由基图的周长和排列位移决定。渐进边缘增长(PEG)构造通过贪心算法中符号节点的局部周长最大化,为LDPC码建立Tanner图,或等效的奇偶校验矩阵。本文介绍了一种改进的PEG算法,该算法可以同时构造大周长基图和确定QC原型LDPC码的最优排列移位。仿真结果表明,采用改进的PEG算法构建的QC原型LDPC码在AWGN信道上具有良好的帧误码率(FER)性能。
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Modified PEG algorithm for large girth Quasi-cyclic protograph LDPC codes
For a given base graph, the protograph can be obtained by a copy-and-permute procedure. If the permutation is cyclic, the protograph corresponds to a quasi-cyclic (QC) protograph LDPC code. The girth of the QC protograph LDPC code is determined by the girth of the base graph and the permutation shifts. Progressive edge-growth (PEG) construction builds up a Tanner graph, or equivalently a parity-check matrix, for an LDPC code by maximizing the local girth at symbol nodes in a greedy algorithm. In this paper, we introduce a modified version of the PEG algorithm which can construct large girth base graph and determine the optimal permutation shifts, simultaneously, for QC protograph LDPC codes. Simulation results show that the QC protograph LDPC codes constructed by the proposed modified PEG algorithm have good frame error rate (FER) performance over the AWGN channel.
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