• DocumentCode
    2888053
  • Title

    High Maneuver Target Tracking Based on Combined Kalman Filter and Fuzzy Logic

  • Author

    Bahari, Mohamad Hasan ; Karsaz, A. ; Khaloozadeh, H.

  • Author_Institution
    Ferdowsi Univ. of Mashhad, Mashhad
  • fYear
    2007
  • fDate
    12-14 Feb. 2007
  • Firstpage
    59
  • Lastpage
    64
  • Abstract
    In this paper, a new combined scheme is presented to overcome some drawbacks of the high maneuvering target tracking problems by using the mixed fuzzy logic and the standard Kalman filter. This scheme is consist of two important aspects; at first absolute value of difference between last target course and the present observation target course and the second aspect is the absolute value of measurement residual. The results compared with the augmented method and another combined fuzzy logic method which have been reported respectively. Simulation results show a high performance of the proposed innovation method and effectiveness of this scheme in high maneuvering targets tracking problems.
  • Keywords
    Kalman filters; fuzzy logic; target tracking; tracking filters; Kalman filter; fuzzy logic; high maneuver target tracking problem; innovation method; Acceleration; Accelerometers; Bayesian methods; Filters; Fuzzy logic; Predictive models; Radar tracking; Recursive estimation; State estimation; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Decision and Control, 2007. IDC '07
  • Conference_Location
    Adelaide, Qld.
  • Print_ISBN
    1-4244-0902-0
  • Electronic_ISBN
    1-4244-0902-0
  • Type

    conf

  • DOI
    10.1109/IDC.2007.374526
  • Filename
    4252478