• DocumentCode
    1778890
  • Title

    The Optimization of the Observation Geometry Using the Passive Measurements

  • Author

    Qian Zhang ; Li Lin ; Yan Zhao

  • Author_Institution
    Beijing Aerosp. Control Center, Beijing, China
  • fYear
    2014
  • fDate
    18-20 Sept. 2014
  • Firstpage
    379
  • Lastpage
    382
  • Abstract
    The optimization of the observation geometry is very important for multi-sensor target tracking. This paper performs analysis of the Fisher information matrix obtained using the passive measurements, and analyzes the influences to the tracking performance by the observation geometry factors like the distance and the angle, therefore obtains the optimal criteria for the sensor selection in target tracking.
  • Keywords
    optimisation; passive networks; sensor fusion; target tracking; Fisher information matrix; multisensor target tracking; observation geometry; optimization; passive measurements; Aerospace control; Eigenvalues and eigenfunctions; Geometry; Measurement uncertainty; Optimization; Target tracking; Vectors; Passive measurement Observation geometry Fisher information Sensor management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-6574-8
  • Type

    conf

  • DOI
    10.1109/IMCCC.2014.85
  • Filename
    6995055