• DocumentCode
    2216752
  • Title

    Artificial intelligence techniques for enhanced tracking performance VTS radars

  • Author

    Bhattacharya, Tarun K. ; Scarlett, Peter ; Gautier, Charles

  • Author_Institution
    Dept. of Adv. Syst. Dev., Raytheon Canada Ltd., Waterloo, Ont., Canada
  • fYear
    1996
  • fDate
    13-16 May 1996
  • Firstpage
    106
  • Lastpage
    111
  • Abstract
    This paper describes a prototype tracker that incorporates artificial intelligence (AI) procedures to improve tracking performance. The specific application area is the vessel traffic services (VTS) systems. VTS systems are operated by experienced marine traffic regulators (MTRs) who must use a variety of information to resolve automatic tracker errors. It is shown that proper cueing by an expert system enables the tracker to manage situations that can lead to problems for trackers without AI. The detail of the architecture of the AI tracker is presented. The paper concludes by presenting some results on real-life data from an operational VTS radar
  • Keywords
    expert systems; intelligent control; radar applications; radar tracking; radionavigation; ships; traffic control; AI tracker architecture; VTS radars; VTS systems; artificial intelligence techniques; automatic tracker errors; expert system; prototype tracker; radar navigation; tracking performance; vessel traffic services; Artificial intelligence; Ice; Navigation; Prototypes; Radar clutter; Radar signal processing; Radar tracking; Regulators; Target tracking; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 1996., Proceedings of the 1996 IEEE National
  • Conference_Location
    Ann Arbor, MI
  • Print_ISBN
    0-7803-3145-1
  • Type

    conf

  • DOI
    10.1109/NRC.1996.510665
  • Filename
    510665