• DocumentCode
    2372353
  • Title

    Ground target tracking of a temporarily invisible target due to topographic constraints

  • Author

    Alat, G. ; Leblebicioglu, Kemal ; Baykal, Buyurman

  • Author_Institution
    Elektrik ve Elektron. Muhendisligi Bolumu, ODTU, Ankara, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It is possible that topographic constraints hide targets in ground target tracking. It is important that hidden targets are tracked effectively when they are invisible during hidden portions of their motion. In addition to that, existence of heavy clutter makes the problem even more challenging. To address this problem, an airborne GMTI radar with a VSIMM-PDAF tracker is considered. Traditional approaches make assumptions regarding the motion of the target during hidden modes, e.g., constant velocity assumption. However, in reality such assumptions do not model the true target behavior and the track is dropped if the assumption is not satisfied. To mitigate the target drop problem a new approach is presented in this paper. Firstly, a stop model is integrated into the VSIMM-PDAF algorithm. Using the flexibility of the stop model, then secondly a hide model is developed. The hide model enables the tracker to track the targets independent of the time spent and independent of the target velocity during the hidden mode. The root mean square position error and velocity error performances of the algorithm show that there exists a short recovery period in which there is a rise in error whenever the target becomes visible again and that tracking continues thereafter.
  • Keywords
    airborne radar; mean square error methods; radar clutter; radar tracking; VSIMM-PDAF tracker; airborne GMTI radar; ground target tracking; hidden portions; radar clutter; root mean square position error performances; stop model; target drop problem; temporarily invisible target; topographic constraints; velocity error performances; Clutter; Markov processes; Monte Carlo methods; Radar tracking; Target tracking; Ground Target Tracking; PDAF; VSIMM; dense clutter; hide model; topographic constraint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531164
  • Filename
    6531164