• DocumentCode
    323713
  • Title

    The application of artificial neural networks to naval ESM radar function identification

  • Author

    Roe, Ann

  • Author_Institution
    Dept. of EW Syst., Defence Res. Agency, Cosham, UK
  • fYear
    1994
  • fDate
    34683
  • Firstpage
    42552
  • Lastpage
    42554
  • Abstract
    Identification is the last stage in ESM (electronic surveillance measures) processing, which is currently the radar type classification of each track. A track is a parametric description of a radar signal thought to be in the environment that results from the preceding stages of pulse sorting/grouping and characterisation. Identification consists essentially of an ESM radar library and an identification algorithm. The library describes the characteristics of known radars to be used by the identification algorithm. The identification algorithm defines the method by which the parameters of the track are matched against the library information and the result is a radar type identity for the track
  • Keywords
    backpropagation; artificial neural networks; electronic surveillance measures; naval ESM radar function identification; parametric description; radar signal; radar type classification; radar type identity;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Applications of Neural Networks to Signal Processing (Digest No. 1994/248), IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    675265