• DocumentCode
    2366267
  • Title

    An IMM-UF algorithm for tracking highly maneuvering target

  • Author

    Wang, Xiao ; Han, Chongzhao ; Zhang, Hui

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    1862
  • Lastpage
    1867
  • Abstract
    Tracking of highly maneuvering targets with unknown behavior is a difficult problem in state estimation. This paper presents an adaptive interacting multiple model algorithm (IMM) utilizing adaptive turn rate models to track a maneuvering target. The turn rate is calculated at each step form the estimator of velocity and the radius of curvature of the trajectory of the target by using Least Square (LS) and curve fitting theory. Simulation in different scenario proves that the turn-rate estimation techniques in this adaptive framework can significantly solve the problem of tracking maneuvering targets.
  • Keywords
    curve fitting; least squares approximations; state estimation; target tracking; IMM-UF algorithm; adaptive interacting multiple model algorithm; adaptive turn rate model; curve fitting theory; highly maneuvering target tracking; least square; state estimation; unknown behavior; Curve fitting; Estimation; Noise; Noise measurement; Radar tracking; Target tracking; Trajectory; IMM; maneuvering target tracking; turn rate estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5588860
  • Filename
    5588860