Advanced Search
Volume 32 Issue 3
Aug.  2010
Turn off MathJax
Article Contents
Yuan Gang, Chen Jing. A Clustering Detection Algorithm of Stationary Target for Passive Time Difference Location System[J]. Journal of Electronics & Information Technology, 2010, 32(3): 728-731. doi: 10.3724/SP.J.1146.2009.00120
Citation: Yuan Gang, Chen Jing. A Clustering Detection Algorithm of Stationary Target for Passive Time Difference Location System[J]. Journal of Electronics & Information Technology, 2010, 32(3): 728-731. doi: 10.3724/SP.J.1146.2009.00120

A Clustering Detection Algorithm of Stationary Target for Passive Time Difference Location System

doi: 10.3724/SP.J.1146.2009.00120
  • Received Date: 2009-01-21
  • Rev Recd Date: 2009-10-23
  • Publish Date: 2010-03-19
  • 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.
  • loading
  • 孙仲康, 周一宇, 何黎星. 单多基地有源无源定位技术[M].北京: 国防工业出版社, 1996 年5 月, 第7 章.Sun Zhong-kang, Zhou Yi-yu, and He Li-xing.Single-Multiple Station Active and Passive LocationTechnology[M]. Beijing: Defense Iindustry press, May, 1996,Chapter 7.[2]袁刚才, 吴永强, 张杰. 无源定位系统的快速航迹起始算法[J].系统仿真学报, 2005, 17(6): 1484-1496.Yuan Gang-cai, Wu Yong-qiang, and Zhang Jie. Fast trackinitiation algorithm for passive location system[J]. Journal ofSystem Simulation, 2005, 17(6): 1484-1496.[3]段海滨. 蚁群算法原理及其应用[M]. 北京: 科学出版社, 2005年12 月, 第2, 7 章.Duan Hai-bin. Ant Colony Algorithms: Theory andApplications[M]. Beijing: Science Press, Dec, 2005, Chapter 2and Chapter 7.[4]Dorigo M, Maniezzo V, and Colorni A. Positive feedback as asearch strategy. Technical Report, Dipartimento diElettronica, Politecnico Milano, IT, 1991.[5]Dorigo M, Birattati M, and Stiazle T. Ant colonyoptimization [J]. IEEE Computational Intelligence Magazine,2006, 11(1): 28-39.[6]Cai Zhao-quan. Multi-direction searching ant colonyoptimization for traveling salesman problems [C].International Conference on Computational Intelligence andSecurity. Suzhou, China, Dec, 13-17, 2008: 220-223.[7]Martens D, De Backer M, Haesen R, Vanthienen J, Snoeck M,and Baesens B. Classification with ant colony optimization[J].IEEE Transactions on Evolutionary Computation.2007,11(5):651-665[8]康莉,谢维信,黄敬雄. 基于SIS 框架和蚁群算法的非线性多目标跟踪[J].电子与信息学报.2008, 30(9):2148-2151浏览[9]Bozdogan A O and Efe M. Ant colony optimization heuristicfor the multidimensional assignment problem in targettracking[C]. Radar Conference IEEE, Rome, Italy, May, 2008:1-6.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3832) PDF downloads(661) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return