Blind signals detection with chaos ant colony optimization algorithm

doi:10.3778/j.issn.1002-8331.2009.34.042

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (34): 136-138.DOI: 10.3778/j.issn.1002-8331.2009.34.042

• 数据库、信号与信息处理 • Previous Articles Next Articles

Blind signals detection with chaos ant colony optimization algorithm

YU Da-wei¹，WEN Chun-yan²，YU Shu-juan²

1.Computer Department，Suzhou College of Information Technology，Suzhou，Jiangsu 215200，China
2.Institute of Electronic Science and Engineering，Nanjing University of Posts and Telecommunications，Nanjing 210003，China

Received:2009-07-30 Revised:2009-10-09 Online:2009-12-01 Published:2009-12-01
Contact: YU Da-wei

混沌蚁群组合优化算法实现盲信号检测

于大为¹，闻春燕²，于舒娟²

1.苏州信息职业技术学院计算机与信息系，江苏苏州 215200
2.南京邮电大学电子科学与工程学院，南京 210003

通讯作者: 于大为

Abstract

Abstract: According to the pseudo-random chaotic map，such as quasi-random and regularity the characteristics of the chaos algorithm，this paper gives a new algorithm，called chaos ant colony optimization algorithm，which is used to initialize pheromone chaotic initialization and updated when pheromone chaotic disturbance.Furthermore，the paper applies this new algorithm to blind identification.The simulations use four different chaotic mapping：The classic Logistic mapping；Chebyshev mapping and the improved H mapping.The simulation results show that the proposed algorithm which based on chaos-ant colony optimization-blind detection algorithm（CACO），increases computational efficiency，and is more superior to the literature to show the good performance of algorithm.

Key words: ant colony optimization, blind identification, blind equalization, chaos ant colony optimization

摘要： 根据混沌映射的伪随机性、遍历性以及规律性等特点提出一种新的算法，基于混沌-蚁群组合优化盲检测算法，即在信息素初始化时采用混沌初始化，并且在信息素更新时加入混沌扰动。仿真实验分别采用了4种不同的混沌映射：经典的Logistic映射、两种阶数不同的切比雪夫映射和改进的H映射。仿真结果表明，提出的基于混沌蚁群组合优化盲检测算法（CACO）可以提高计算效率，表现出了优于文献算法的良好性能。

关键词: 蚁群算法, 盲检测, 盲均衡, 混沌蚁群组合优化

CLC Number:

TN911.23

YU Da-wei¹，WEN Chun-yan²，YU Shu-juan². Blind signals detection with chaos ant colony optimization algorithm[J]. Computer Engineering and Applications, 2009, 45(34): 136-138.

于大为¹，闻春燕²，于舒娟². 混沌蚁群组合优化算法实现盲信号检测[J]. 计算机工程与应用, 2009, 45(34): 136-138.

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Blind signals detection with chaos ant colony optimization algorithm

混沌蚁群组合优化算法实现盲信号检测

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