|
|||||
|
|
| 基于差分进化的非规则LDPC码分布对优化 | |
| 引用本文： | 贾向东,傅海阳,欧阳玉花.基于差分进化的非规则LDPC码分布对优化[J].无线电工程,2009,39(3):24-25. |
| 作者姓名： | 贾向东 傅海阳 欧阳玉花 |
| 作者单位： | 1. 西北师范大学,数学与信息科学学院,甘肃,兰州,730070;南京邮电大学,通信与信息工程学院,江苏,南京,210003 2. 南京邮电大学,通信与信息工程学院,江苏,南京,210003 3. 兰州交通大学,数理与软件工程学院,甘肃,兰州,730070 |
| 摘 要： | 讨论了基于差分进化的非规则LDPC码分布对优化方法。在分布对的优化搜索过程当中,联合使用了差分进化算法(EA)与密度进化算法,并对这种联合技术的实现方法和约束条件处理做了研究。用密度进化算法作为差分进化算法的目标函数,优化搜索出了一组AWGN信道下好的非规则LDPC码分布对,且计算出了各分布对的近似门限值。该方法充分利用差分进化算法的健壮性、有效性以及搜索结果全局最优的特点,是一种有效的好LDPC码搜索技术。 |
| 关 键 词： | 非规则LDPC码 度分布对优化 密度进化 差分进化 |
Optimization of Degree Distributions for Irregular LDPC Codes Base on Differential Evolution |
|
| JIA Xiang-dong,FU Hai-yang,OUYANG Yu-hua.Optimization of Degree Distributions for Irregular LDPC Codes Base on Differential Evolution[J].Radio Engineering of China,2009,39(3):24-25. | |
| Authors: | JIA Xiang-dong FU Hai-yang OUYANG Yu-hua |
| Affiliation: | JIA Xiang-dong,FU Hai-yang,OUYANG Yu-hua(1.College of Mathematics and Information Science,Northwest Normal University,Lanzhou Gansu 730070,China;2.School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing Jiangsu 210003,China;3.School of Mathematics,Physics and Software Engineering,Lanzhou Jiaotong University,Lanzhou Gansu 730070,China) |
| Abstract: | In this paper,the optimization method of degree distributions for irregular LDPC codes is presented,which is based on differential evolution.The combination technology of differential evolution and density evolution is applied in the course of optimizing degree distributions for irregular LDPC codes,and its implement method and disposition of constraint conditions are studied.By using density evolution algorithm as goal function of differential evolution algorithm,a group of good degree distributions is obtained by differential evolution algorithm in AWGN channels,and the thresholds of these good degree distributions are evaluated by density evolution algorithm.This combination technology takes full advantage of robustness and efficiency of differential evolution and the result shows that it is an effective optimizing technology. |
| Keywords: | irregular LDPC codes degree distributions optimization density evolution differential evolution |
| 本文献已被 维普 万方数据 等数据库收录！ | |