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基于数据压缩的多传感器多假设算法

张晶炜 熊伟 何友

张晶炜, 熊伟, 何友等 . 基于数据压缩的多传感器多假设算法[J]. 北京航空航天大学学报, 2007, 33(12): 1448-1451.
引用本文: 张晶炜, 熊伟, 何友等 . 基于数据压缩的多传感器多假设算法[J]. 北京航空航天大学学报, 2007, 33(12): 1448-1451.
Zhang Jingwei, Xiong Wei, He Youet al. Multisensor multipled hypothesis algorithm based on data compressing technic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(12): 1448-1451. (in Chinese)
Citation: Zhang Jingwei, Xiong Wei, He Youet al. Multisensor multipled hypothesis algorithm based on data compressing technic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(12): 1448-1451. (in Chinese)

基于数据压缩的多传感器多假设算法

基金项目: 国家自然科学基金资助项目(60672139,60672140)
详细信息
    作者简介:

    张晶炜(1980-),男,江西景德镇人,博士生,inform_fusion@tom.com.

  • 中图分类号: TN 95

Multisensor multipled hypothesis algorithm based on data compressing technic

  • 摘要: 为解决集中式多传感器系统中多目标跟踪问题,提出了一种新的多传感器多目标算法.提出的算法首先应用经典分配规则对每个传感器送来的观测数据进行排列组合,然后对每个组合中各量测点进行概率加权以获得一个等效量测点,最后根据每个等效量测点产生的互联假设计算其互联概率并获得融合中心的状态估计.给出了该算法与已有集中式多传感器联合概率数据互联算法的仿真比较,仿真结果表明该算法的跟踪性能在探测概率降低的跟踪环境下表现得更为优越.

     

  • [1] He You, Wang Guohong, Lu Dajin, et al. Multisensor information fusion with application[M]. Beijing: Publishion House of Electronics Industry, 2000 [2] Khawsuk W, Pao L Y. Decorrelated state estimation for distributed tracking using multiple sensors in cluttered environments American Control Conference. 2003:3208 - 3214 [3] Chang K, Chong C, Bar-Shalom Y. Joint probabilistic data association in distributed sensor networks[J]. IEEE Trans on Automatic Control, 1986, AC-31(10) : 889-897 [4] Blackman S S. Multiple hypothesis tracking for multiple target tracking[J]. Aerospace and Electronic Systems Magazine, IEEE, 2004,19(1): 5 - 18 [5] Deb S, Pattipati K R, Bar-Shalom Y. An S-dimentional assignment algorithm for track initiation Proc of the IEEE Int Conf Systems Engineering. Kobe,Japan: ,1992: 527-530 [6] Ogle T L, Blair W D, Levin, et al. Multiplatform -multisensor tracking with surveillance radars Proceedings of the Thirty-Sixth Southeastern Symposium. Atlantic,GA, USA: Georgia Tech Res Inst, Georgia Inst, 2004: 190-194 [7] Pao L Y, Frei C W. A comparison of parallel and sequential implementation of a multisensor multitarget tracking algorithm Proc 1995 American Control Conf. Seattie, Washington: , 1995: 1683-1687 [8] Han Yanfei. Analysis and improvement of multisensor multitarget probabbilistic data association filting algorithm[J].Journal of Systems Engineering and Electronics,2002,24: 36-38
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出版历程
  • 收稿日期:  2006-12-25
  • 网络出版日期:  2007-12-31

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