• DocumentCode
    3680457
  • Title

    Metacognition for waveform diverse radar

  • Author

    Gerard T. Capraro;Michael C. Wicks

  • Author_Institution
    Capraro Technologies, Inc. 2118 Beechgrove Place, Utica, NY 13501 USA
  • fYear
    2012
  • Firstpage
    348
  • Lastpage
    351
  • Abstract
    An airborne ground looking radar sensor´s performance may be enhanced by selecting algorithms adaptively as the environment changes. A short description of an airborne intelligent radar system (AIRS) is presented with a description of the knowledge based filter and detection portions. A second level of artificial intelligence (AI) processing is presented that monitors, tests, and learns how to improve and control the first level. This approach is based upon metacognition.
  • Keywords
    "Program processors","Airborne radar","Artificial intelligence","Radar tracking","Signal processing algorithms","Radar detection"
  • Publisher
    ieee
  • Conference_Titel
    Waveform Diversity & Design Conference (WDD), 2012 International
  • Type

    conf

  • DOI
    10.1109/WDD.2012.7311302
  • Filename
    7311302