• DocumentCode
    495476
  • Title

    A New Algorithm for Multi-Sensors Registration and Target Tracking

  • Author

    Liwan, Chen

  • Author_Institution
    Chongqing Three Gorges Univ., Chongqing, China
  • Volume
    4
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    39
  • Lastpage
    42
  • Abstract
    A registration and target tracking algorithm with unscented Kalman filter(UKF) based on earth-centered earth-fixed coordinate system is presented. This algorithm not only considers the geometry of the global, but can register sensors while tracking. the UKF method is used to estimate both the registration errors and system states simultaneously , which has supplied a new method for solving the registration and tracking between the long distance sensors, Monte-Carlo simulation results show that the approach is useful and robust. will play an important role in engineering applications.
  • Keywords
    Kalman filters; Monte Carlo methods; matrix algebra; sensor fusion; target tracking; Monte-Carlo simulation; earth-centered earth-fixed coordinate system; multisensors registration; register sensor; target tracking algorithm; unscented Kalman filter; Computer science; Earth; Equations; Information filtering; Kalman filters; Least squares methods; Sensor systems; Sensor systems and applications; State estimation; Target tracking; ECEF; Registration; Target tracking; UKF; multi-sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.186
  • Filename
    5170958