• DocumentCode
    1873000
  • Title

    A new algorithm based on combined fuzzy logic and Kalman filter for target maneuver detection

  • Author

    Bahari, M.H. ; Karsaz, A. ; Khaloozadeh, H.

  • Author_Institution
    Dept. of Electr. Eng., Ferdowsi Univ., Mashhad
  • fYear
    2006
  • fDate
    19-21 Jan. 2006
  • Lastpage
    524
  • Abstract
    High maneuvering targets normally maneuver on circular paths which have lead to tracking filters on circular turns. In this paper, an innovation technique is presented to combine the tracking-maneuvering target problems using fuzzy logic and augmented Kalman filter. The proposed combined filter is composed of two automatic switching modes: one for the mild maneuver using augmented Kalman filter and the other for the high maneuver using fuzzy acceleration prediction method. It is demonstrated by means of numerical acceleration examples that the tracking capability of the proposed mixed method is essentially as good as that of the augmented method, especially at high maneuver target
  • Keywords
    Kalman filters; fuzzy logic; target tracking; tracking filters; Kalman filter; automatic switching; combined fuzzy logic; fuzzy acceleration prediction; high maneuvering targets; numerical acceleration; target maneuver detection; tracking filters; tracking-maneuvering target problems; Acceleration; Bayesian methods; Filtering; Filters; Fuzzy logic; Predictive models; Recursive estimation; State estimation; Target tracking; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
  • Conference_Location
    Harbin
  • Print_ISBN
    0-7803-9395-3
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2006.1627677
  • Filename
    1627677