• DocumentCode
    2289599
  • Title

    Artificial intelligence and waveform diversity

  • Author

    Capraro, Gerard T. ; Capraro, C.T. ; Wicks, Michael C. ; Liuzzi, Raymond A.

  • Author_Institution
    Capraro Technol., Utica, NY, USA
  • fYear
    2003
  • fDate
    30 Sept.-4 Oct. 2003
  • Firstpage
    270
  • Lastpage
    274
  • Abstract
    Future US Air Force sensor systems must be able to adapt to changing environments in real time. A capabilities-based modeling approach offers a new method for building the next generation weapon system. To accommodate this model based approach, the Department of Defense (DoD) is promoting the use of waveform diversity for active radar systems. Building a weapon system including one or more systems with waveform diversity will require the use of artificial intelligence (AI) tools and techniques. We provide a model of how an aircraft sensor system can be retrofitted to accommodate radars employing waveform diversity without causing fratricide.
  • Keywords
    airborne radar; artificial intelligence; intelligent sensors; space-time adaptive processing; AI; active radar system; aircraft sensor system; artificial intelligence techniques; capabilities-based modeling approach; waveform diversity; Aircraft; Artificial intelligence; Force sensors; Intelligent sensors; Laboratories; Radar; Real time systems; Sensor systems; Signal processing algorithms; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integration of Knowledge Intensive Multi-Agent Systems, 2003. International Conference on
  • Print_ISBN
    0-7803-7958-6
  • Type

    conf

  • DOI
    10.1109/KIMAS.2003.1245056
  • Filename
    1245056