• DocumentCode
    2840523
  • Title

    Automatic programming for rapid development of tracking systems

  • Author

    Ogata, Lori ; Jensen, Paul S.

  • Author_Institution
    Lockheed Palo Alto Res. Lab., CA, USA
  • fYear
    1991
  • fDate
    14-17 Oct 1991
  • Firstpage
    544
  • Lastpage
    549
  • Abstract
    The authors discuss an approach, called ATTACK (automated tracking taxonomy and coding knowledge), which uses knowledge-based technologies to support the automated synthesis of new target tracking systems for the investigation of new tracking algorithms. In this approach, users are prompted for tracking system characteristics on a series of dynamic, interactive forms. Design rules are applied to the user-applied characteristics in order to derive executable code satisfying those characteristics. The key to ATTACK is the structuring of the knowledge base, which encourages completeness and consistency, and is suitable for automated analysis. The structure, in concert with suitable processing software, guides a user through the system specification process in a natural, organized fashion, and permits informed short cuts, through default settings, for prototyping exercises. The structure is flexible, permitting corrections and amendments on a routine basis, thereby allowing the body of knowledge to evolve naturally
  • Keywords
    automatic programming; knowledge based systems; tracking systems; ATTACK; automated tracking taxonomy; coding knowledge; default settings; executable code; knowledge-based technologies; prototyping; suitable processing software; tracking systems; user-applied characteristics; Aerospace electronics; Automatic programming; Clutter; Debugging; Laboratories; Radar detection; Radar tracking; Software design; Target tracking; Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference, 1991. Proceedings., IEEE/AIAA 10th
  • Conference_Location
    Los Angeles, CA
  • Type

    conf

  • DOI
    10.1109/DASC.1991.177223
  • Filename
    177223