多传感器管理的目标分配问题蚁群算法研究  

Multisensor Management with Ant Colony Algorithm for Solving Target Assignment Problem

作　　者：黄树采[1] 李为民[1] 李威[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《空军工程大学学报（自然科学版）》2005年第2期28-31,共4页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：总装预研基金资助项目(00J4. 1. 5.JB3201)

摘　　要：多传感器管理的目标分配问题中如何使探测和跟踪效益最佳,是非常重要又十分困难的问题。分析了传感器管理的目标分配问题各种解算方法的特点及存在的问题,结合蚁群算法思想,提出了一种新型的目标分配算法模型,并进行了算法仿真。仿真结果表明,基于蚁群算法思想的目标分配算法是有效的,特别是问题规模较大时更显示出其较快的收敛速度和较高的精度。Target assignment problem for maximizing the detecting and tracking effectiveness is a very important and difficult problem in multisensor management system. Manifold algorithms for solving this problem are discussed first, based on ant colony algorithm, a new method is put forward then. The algorithm simulation is given in the end, the result shows this new target assignment method is effective, especially for the problem of large scale target assignment this new method shows faster constringency rate and higher precision.

关 键 词：多传感器管理 目标分配 蚁群算法 

分 类 号：TN957.51[电子电信—信号与信息处理]