Low-Complexity Optimization Algorithm for Irregular Low-Density Parity-Check Codes

被引：0
|
作者：
左健存 [1 ]
邵宇丰 [1 ]
桂林 [1 ]
机构：
[1] School of Electronic and Electrical Engineering,Shanghai Second Polytechnic University
来源：
JournalofDonghuaUniversity(EnglishEdition) | 2013年 / 30卷 / 04期
关键词：
irregular low-density parity-check(LDPC)codes; Turbo codes; optimization;
D O I：
10.19884/j.1672-5220.2013.04.012
中图分类号：
TN911.22 [信道编码理论];
学科分类号：
摘要：
A low-complexity algorithm is proposed in this paper in order to optimize irregular low-density parity-check(LDPC)codes.The algorithm proposed can calculate the noise threshold by means of a one-dimensional density evolution and search the optimal degree profiles with fast-convergence differential evolution,so that it has a lower complexity and a faster convergence speed.Simulation results show that the irregular LDPC codes optimized by the presented algorithm can also perform better than Turbo codes at moderate block length even with less computation cost.
引用
收藏
页码：330 / 335
页数：6
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