基于精英策略的逆向蚁群优化盲检测算法  

Blind Detection Based on a Converse Ant Algorithm Using Elitist Strategy

作　　者：杨磊[1] 于舒娟[1] 

机构地区：[1]南京邮电大学电子科学与工程学院,江苏南京210003

出　　处：《计算机技术与发展》2010年第12期90-93,共4页Computer Technology and Development

基　　金：国家自然科学基金(60772060)

摘　　要：介绍了基本蚁群优化算法在信号盲检测中的应用。发现基本蚁群优化算法存在慢收敛且易停滞等问题。为了解决基本蚁群算法存在的缺点,提出了基于精英策略的逆向蚁群优化盲检测算法:采用精英策略和增加蚁群种类,即向原始蚁群中引入逆向蚂蚁来提高算法全局寻优能力。这样既加强了正反馈作用,又加快了收敛速度。仿真结果表明,将该算法应用于盲信号的检测可以直接快速地恢复发送信号,且收敛速度和全局寻优能力都得到很大的改善。In this paper,blind detection algorithm based on the ant colony optimization is firstly proposed.The ant colony optimization algorithm has found slow convergence and easy to stagnation.In order to deal with the shortcomings of the ant colony algorithm,a blind detection based on a converse ant algorithm using elitist strategy is proposed.Increasing ant species and inducting converse ants and elitist strategy into the ant colony,the ability of searching for global optimal solution can be improved.This will not only strengthen the role of positive feedback,but also the speed of convergence.The simulated results show that the algorithm can directly and quickly blind recover the transmitted signal and the convergence speed and global optimization capability have greatly improved.

关 键 词：精英策略 逆向蚁群算法 盲检测 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]