• DocumentCode
    2670434
  • Title

    Track correlation for multisensor system based on NN and general classical assignment algorithm

  • Author

    Juan, Zhang ; Jie, Chen ; Mei, Duan

  • Author_Institution
    Dept. of Autom. Control, Beijing Inst. of Technol., Beijing
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    803
  • Lastpage
    806
  • Abstract
    Track correlation is the key problem in the information fusion of the distributed multisensor system. The purpose is to judge whether or not the tracks In a distributed multisensor system, coming from different local nodes are maed to a same target. The flow of the track corelation of multisensor system is proposed based on the analysis about the problem. At first, space and time registration for the datum detected by different kinds of sensor from different place were taken with NN technology. Then the problem of track correlation were transformed to the generalized classical assignment problem and NN were used to deal with this problem. The simulation experimental results illustrate that with above method, the system has higher correct association rate.
  • Keywords
    neural nets; sensor fusion; distributed multisensor system; general classical assignment algorithm; information fusion; multisensor system; neural net; track correlation; Information science; Multisensor systems; Neural networks; Space technology; Target tracking; Distributed multisensor system; General classical assignment algorithm; NN; Space and time registration; Track correlation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605758
  • Filename
    4605758