• DocumentCode
    2262281
  • Title

    A NN type multi-sensor tracking and identification algorithm

  • Author

    Bruder, S. ; Johnson, R. ; Farooq, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada
  • fYear
    1993
  • fDate
    16-18 Aug 1993
  • Firstpage
    492
  • Abstract
    A multiple dissimilar sensor multiple target tracking and identification algorithm in the spirit of the nearest neighbour (NN) class of assignment algorithms is proposed. The novelty of this work lies in the exploitation of information type Kalman filters and a coordinated approach to the treatment of both kinematic and non-kinematic properties
  • Keywords
    Kalman filters; filtering theory; identification; target tracking; Kalman filters; assignment algorithms; identification algorithm; multiple target tracking; multisensor tracking; nearest neighbour class; Bayesian methods; Covariance matrix; Information filters; Kinematics; Neural networks; Performance evaluation; Sequential analysis; State estimation; Testing; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
  • Conference_Location
    Detroit, MI
  • Print_ISBN
    0-7803-1760-2
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1993.343013
  • Filename
    343013
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2262281