• DocumentCode
    2130013
  • Title

    Data fusion technology forecast for C3MIS

  • Author

    Linas, J. ; Hall, D.L. ; Waltz, E.

  • Author_Institution
    Calspan Corp., Buffalo, NY, USA
  • fYear
    1989
  • fDate
    2-4 May 1989
  • Firstpage
    148
  • Lastpage
    158
  • Abstract
    Surveys three areas of rapid technology advancement that have the potential for significant improvements in data fusion/C3MIS systems over the next decade: the area of tracker-correlators to achieve consistent tracking performance over a wide range of target and background conditions. Symbolic computational methods and artificial intelligence techniques which provide perceptual interpretation, intelligent reasoning, and learning capabilities for fusion. Parallel and high-connected processor/memory architectures which enhance the speed, fault-tolerance and associative capabilities of data fusion system implementations
  • Keywords
    command and control systems; C3MIS; artificial intelligence; associative capabilities; background conditions; consistent tracking performance; data fusion; fault-tolerance; high-connected processor/memory architectures; intelligent reasoning; learning; parallel architectures; perceptual interpretation; rapid technology advancement; speed; symbolic computational methods; target; tracker-correlators;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Command, Control, Communications and Management Information Systems, 1989., Third International Conference on
  • Conference_Location
    Bournemouth
  • Print_ISBN
    0-85296-380-7
  • Type

    conf

  • Filename
    32719
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2130013