• DocumentCode
    665099
  • Title

    State dependent mode transition probabilities

  • Author

    Michaelis, Martin ; Govaers, Felix ; Koch, W.

  • Author_Institution
    Fraunhofer FKIE, Wachtberg, Germany
  • fYear
    2013
  • fDate
    9-11 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A multiple model filter similar to the IMM filter is developed for tracking of maneuvering targets. The mode transition probabilities are modeled as dependent on the state. This allows using information about the mode of a target that is contained in the state. Thus, better estimates of the mode can be obtained. Convergence of the mode estimates occurs more quickly. As an application, choosing acceleration dependent mode transitions in a scenario using constant velocity motion and coordinated turn motion is discussed.
  • Keywords
    filtering theory; probability; target tracking; IMM filter; acceleration dependent mode transitions; constant velocity motion; coordinated turn motion; maneuvering target tracking; multiple model filter; state dependent mode transition probabilities; Acceleration; Approximation methods; Atmospheric modeling; Convergence; Dynamics; Estimation error; 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.2013.6698262
  • Filename
    6698262