• DocumentCode
    2612805
  • Title

    Application of UKF for passive tracking of maneuvering target based on bearings of two sonar sensors

  • Author

    Xu, Zhaopeng ; Han, Shuping

  • Author_Institution
    Navy Submarine Acad., Qingdao, China
  • Volume
    5
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    2566
  • Lastpage
    2570
  • Abstract
    Passive tracking of maneuvering target in water based on bearings of two sonar sensors is a nonlinear state estimating issue. In this paper, the algorithm of Unscented Kalman Filtering (UKF) is applied to the nonlinear filtering of tracking system, and then maneuvering target could be tracked effectively based on two sonar sensors combining with the algorithm of Interactive Multiple Models (IMM).
  • Keywords
    Kalman filters; sonar tracking; target tracking; interactive multiple models; sonar sensors; target maneuvering passive tracking; tracking system nonlinear filtering; unscented Kalman filtering; Filtering; Mathematical model; Sensor systems; Sonar applications; Target tracking; IMM; UKF; maneuvering target tracking; two sonar sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100715
  • Filename
    6100715
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2612805