• DocumentCode
    2638140
  • Title

    Asynchronous fusion algorithm of highly maneuvering targets

  • Author

    Xiaorong, Fu ; Changsheng, Jiang

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Yancheng Inst. of Technol., Yancheng
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In modern air battlefield, motion of airplane would have the case of highly maneuvering due to the necessary of the battle. This paper discusses the Jerk model of tracking highly maneuvering targets. According to the characteristic of dissimilar airborne sensors, an asynchronous target tracking fusion algorithm is presented using Jerk motion model and converted measurement Kalman filter. The improved performance of this algorithm is illustrated through simulation.
  • Keywords
    Kalman filters; military aircraft; sensor fusion; target tracking; Jerk motion model; airplane motion; asynchronous fusion algorithm; converted measurement Kalman filter; dissimilar airborne sensor; highly maneuvering target tracking; modern air battlefield; Acceleration; Aircraft; Extraterrestrial measurements; Infrared sensors; Intelligent sensors; Radar tracking; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Target tracking; Jerk model; asynchronous fusion; converted measurement Kalman filtering; maxlikehood fusion; target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3908-9
  • Electronic_ISBN
    978-1-4244-2386-6
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2008.4776300
  • Filename
    4776300