• DocumentCode
    2292839
  • Title

    A comparison of fixed gain IMM against two other filters

  • Author

    Derbez, Eric ; Remillard, Bruno ; Jouan, Alexandre

  • Author_Institution
    Lab. de Recherche en Probabilites et Statisque, Quebec Univ., Trois-Rivieres, Que., Canada
  • Volume
    2
  • fYear
    2000
  • fDate
    10-13 July 2000
  • Abstract
    The purpose of the paper is to present an alternative to the constant acceleration Kalman filter which requires half the computational load and yet performs almost as well as the IMM filter. The theoretical justification for this filter came from a study of the IMM filter by two of the authors (E. Derbez and B. Reimmard, 2000). The results of this study are recalled, and illustrative simulations using these filter are carried out by transforming noisy radar data into Cartesian coordinates and then applying a filter to each coordinate separately. The proposed filter is analyzed against a constant velocity, constant acceleration IMM filter, and a constant acceleration regular Kalman filter. The stability properties of each of these filters are also addressed.
  • Keywords
    Kalman filters; adaptive filters; digital filters; target tracking; Cartesian coordinates; IMM filter; computational load; constant acceleration IMM filter; constant acceleration Kalman filter; constant acceleration regular Kalman filter; constant velocity; fixed gain IMM; illustrative simulations; noisy radar data; stability properties; Acceleration; Computational efficiency; Gaussian approximation; Matched filters; Performance gain; Radar tracking; Stability; Switches; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
  • Conference_Location
    Paris, France
  • Print_ISBN
    2-7257-0000-0
  • Type

    conf

  • DOI
    10.1109/IFIC.2000.859872
  • Filename
    859872