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无源时差定位系统的静止目标聚类检测算法 被引量：9

A Clustering Detection Algorithm of Stationary Target for Passive Time Difference Location System
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摘要 利用时差定位系统的定位误差特性,基于蚁群优化算法,提出了一种蚁群聚类检测算法,在不需要先验信息的情况下,实现了对静止目标的检测。实际数据测试结果表明蚁群聚类检测算法能够有效检测静止目标并估计目标位置,系统对静止目标的定位精度得到了显著改善。 A clustering algorithm,based on ant colony optimization algorithm,is proposed,and the stationary target can be detected without prior information.This algorithm is used in practical time difference location system and its performance is demonstrated.
作者 袁罡 陈鲸
机构地区 西南电子电信技术研究所
出处 《电子与信息学报》 EI CSCD 北大核心 2010年第3期728-731,共4页 Journal of Electronics & Information Technology
关键词 目标检测 时差定位 蚁群优化 聚类 Target detection Time difference location Ant colony optimization Clustering
分类号 TN97 [电子电信—信号与信息处理]
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参考文献7

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  • 4Cai Zhao-quan. Multi-direction searching ant colony optimization for traveling salesman problems [C]. International Conference on Computational Intelligence and Security. Suzhou, China, Dec, 13-17, 2008: 220-223.
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二级参考文献12

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共引文献7

同被引文献76

引证文献9

二级引证文献48

电子与信息学报
2010年 第3期

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