• DocumentCode
    3513390
  • Title

    Data fusion for several Kalman filters tracking a single target

  • Author

    Atherton, D.P. ; Bather, J.A.

  • Author_Institution
    Sch. of Sci. & Technol., Sussex Univ., Brighton, UK
  • fYear
    2004
  • fDate
    23-24 March 2004
  • Firstpage
    63
  • Lastpage
    69
  • Abstract
    The paper examines the accuracy of the Bar-Shalom formula for computing the fused estimate from two filters, tracking a single target with the exact minimum mean square estimator. It is shown that the errors are small and that the simplicity of the Bar-Shalom formula makes it appropriate to use. Simulation results on its use for fusing estimates from two and three filters are presented.
  • Keywords
    Kalman filters; filtering theory; least mean squares methods; parameter estimation; sensor fusion; target tracking; tracking filters; Bar-Shalom formula; Kalman filters; data fusion; minimum mean square estimation; target tracking; tracking filters;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Target Tracking 2004: Algorithms and Applications, IEE
  • ISSN
    0537-9989
  • Print_ISBN
    0-86341-397-8
  • Type

    conf

  • DOI
    10.1049/ic:20040053
  • Filename
    1340442
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3513390