• DocumentCode
    665103
  • Title

    Target existence probability in the distributed Kalman filter

  • Author

    Svensson, Daniel ; Govaers, Felix ; Ulmke, Martin ; Koch, W.

  • Author_Institution
    Electron. Defence Syst., Saab AB, Göteborg, Sweden
  • fYear
    2013
  • fDate
    9-11 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, the target existence probability for a single target in clutter is derived. More specifically, the paper considers target existence in the distributed Kalman filter. First, a conceptual solution is derived explicitly for a two-sensor case, and second a moment-matching approximation is performed, which enables computational tractability. The results can be generalized to arbitrary numbers of sensors.
  • Keywords
    Kalman filters; clutter; probability; sensors; clutter; computational tractability; distributed Kalman filter; moment-matching approximation; sensor; target existence probability; Approximation algorithms; Approximation methods; Clutter; Covariance matrices; Joints; Probability; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on
  • Conference_Location
    Bonn
  • Print_ISBN
    978-1-4799-0777-9
  • Type

    conf

  • DOI
    10.1109/SDF.2013.6698266
  • Filename
    6698266
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=665103