摘要
通过对蚁群算法的研究,用蚁群算法成功解决了无源测向定位中消除虚假点,对真实交点进行正确聚类的难题。并通过Matlab仿真实验证明了该算法的有效性。同时该算法具有目标关联确率高、计算速度快、鲁棒性强等优点。
The paper succeeds in solving the problem that eliminate the fault intersection and get the right clustering of real intersection in multi-sensor multi-target DOA location by using ant colony algorithms. The algorithm has been proved validity by Matlab simulation. The algorithm has the virtues of fast calculating, high accuracy, and strong robust.
出处
《火力与指挥控制》
CSCD
北大核心
2009年第11期65-67,共3页
Fire Control & Command Control
基金
国防预研基金资助项目(10103060103)
关键词
测向定位
蚁群算法
聚类算法
DOA location,ant colony algorithms,clustering algorithm
