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基于最优几何拓扑无线多传感器信息融合定位

俞晓磊;孙永荣;曾庆化;刘建业;   

  1. 南京航空航天大学导航研究中心;澳大利亚迪肯大学技术研究与创新研究所;
  • 出版日期:2010-08-25 发布日期:2010-08-25

Information Fusion and Localization for Wireless Multisensor Based on Optimal Geometrical Topology

Yu Xiaolei1,2 Sun Yongrong1 Zeng Qinghua1 Liu Jianye1 (1 Navigation Research Center,Nanjing University of Aeronautics and Astronautics,Nanjing 210016) (2 Institute of Technology,Research & Innovation,Deakin University,Australia Vic 3217)   

  • Online:2010-08-25 Published:2010-08-25
  • Supported by:
    国家高科技研究发展计划863(2006AA12A108);; 国家留学基金(2008104769)资助

摘要: 利用Fisher信息矩阵方法,研究了针对距离、到达时间和方位角三种测量方式下的最优传感器—目标几何定位与拓扑图形特征。仿真结果表明,通过对最优传感器—目标几何图形特征的分析,可以获得具有最优定位性能的传感器—目标几何拓扑;同时表明,最优几何拓扑一般不是唯一的。

关键词: 无线多传感器, 最优几何拓扑, 信息融合定位

Abstract: Considering the validity of received data,a novel information infusion and localization technology was presented for wireless multisensor based on optimal geometrical topology theory. The optimal sensor-target geometrical localization and topological characteristics were studied with three types of measurements including range-only,time of arrival,bearing-only. The results show that the sensor-target geometrical topology with optimal localization performance can be implemented by analyzing the sensor-target geometrical characteristics. And the optimal geometrical topology is usually not exclusive. Considerable research foundation was provided for understanding the essence of localization,tracking and navigation for wireless multisensor by intrinsic geometrical topology.