• DocumentCode
    2572463
  • Title

    Extending the IMM filter to Heterogeneous-Order state space models

  • Author

    Lopez, Rémy ; Danés, Patrick ; Royer, François

  • Author_Institution
    LAAS, CNRS, Toulouse, France
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    7369
  • Lastpage
    7374
  • Abstract
    An extension of the celebrated Interacting Multiple Model (IMM) filter is proposed so as to handle a bank of models with state vectors of heterogeneous size and meaning. The derivation of the IMMHO (IMM Heterogeneous-Order) filter is exposed. It is argued that a component-wise cooperation strategy leads to a sound and versatile solution. Simulation results in the context of satellite telemetry, for which the prior dynamics of the moving target is poorly known, show that the filter is well-behaved, with adequate operation across the various modes. All the theoretical background is provided so that the paper is self-contained.
  • Keywords
    Kalman filters; satellite telemetry; target tracking; IMM Kalman filter; IMM heterogeneous-order filter; component-wise cooperation; heterogeneous-order state space model; interacting multiple model; moving target tracking; satellite telemetry; state vector; Approximation algorithms; Approximation methods; Equations; Kalman filters; Markov processes; Mathematical model; Satellites; IMM Kalman filters; IMMHO filter; heterogeneous-order switching models; target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717415
  • Filename
    5717415