• DocumentCode
    2809956
  • Title

    IMM - Unscented Kalman Filter based tracking of maneuvering targets using active sonar measurements

  • Author

    Sunanda Babu, V. ; Ravi Shankar, M. ; Majumdar, Sourav ; Rao, Koteswara S.

  • Author_Institution
    NSTL, Visakhapatnam, India
  • fYear
    2011
  • fDate
    10-12 Feb. 2011
  • Firstpage
    126
  • Lastpage
    130
  • Abstract
    In underwater scenario, algorithms that assume constant velocity model are suitable for tracking non maneuvering targets but fail if target is maneuvering. The Interacting Multiple Model algorithm is a widely accepted state estimation scheme for solving maneuvering target tracking problems. This paper presents the IMM method of tracking under water maneuvering targets using active sonar measurements. UKF is used throughout the process and the simulation results for two scenarios are presented.
  • Keywords
    Kalman filters; sonar tracking; state estimation; target tracking; underwater sound; IMM method; active sonar measurements; interacting multiple model algorithm; maneuvering target tracking; state estimation scheme; underwater maneuvering targets; unscented Kalman filter; Delay; Probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2011 International Conference on
  • Conference_Location
    Calicut
  • Print_ISBN
    978-1-4244-9798-0
  • Type

    conf

  • DOI
    10.1109/ICCSP.2011.5739284
  • Filename
    5739284