• DocumentCode
    313702
  • Title

    Interval models for target tracking algorithms

  • Author

    Shan Gong ; Hong, Lang

  • Author_Institution
    Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    4-6 Jun 1997
  • Firstpage
    440
  • Abstract
    Presents a set of models which utilize the target information implied by more than two scans of measurements. The new models are called interval models. Simulations prove that interval models have significant advantages over existing models in certain common scenarios
  • Keywords
    geometry; matrix algebra; statistics; target tracking; interval models; target information; target tracking algorithms; Acceleration; Electric variables measurement; Equations; Gaussian distribution; Sampling methods; State-space methods; Target tracking; Traffic control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1997. Proceedings of the 1997
  • Conference_Location
    Albuquerque, NM
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-3832-4
  • Type

    conf

  • DOI
    10.1109/ACC.1997.611836
  • Filename
    611836
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=313702