Abstract：Based on EXIT chart and APSO algorithm, a new method to optimize the degree distributions of irregular LDPC codes is proposed in this paper. An overall cost function is first designed to measure the matching extent of EXIT curves. Then the degree distributions are optimized iteratively by using the Adaptive Particle Swarm Optimizer (APSO) algorithm. Such a procedure needs not to fasten the Check Nodes Decoder(CND) curve. And therefore, some new degree distributions with higher noise threshold are obtained. Simulation results show that APSO-EXIT algorithm has a good performance to achieve optimal code structures, and it is more effective than Gaussian Approximation in computation.
姬红兵; 李 佳; 张桂华. 基于EXIT图和自适应微粒群算法的度分布对优化方法[J]. 电子与信息学报, 2009, 31(8): 2011-2014 .
Ji Hong-bing①; Li Jia①; Zhang Gui-hua①②. An Optimization Method of Degree Distributions Based on EXIT Chart and APSO Algorithm. , 2009, 31(8): 2011-2014 .
2009, Vol. 31 
