• DocumentCode
    2360833
  • Title

    Improving the resolution of a sensor array pattern by neural networks

  • Author

    Bracco, Christian ; Marcos, Sylvie ; Benidir, Messaoud

  • Author_Institution
    Lab. des Signaux et Syst., Ecole Superieure d´´Electr., Gif-sur-Yvette, France
  • fYear
    1994
  • fDate
    6-8 Sep 1994
  • Firstpage
    575
  • Lastpage
    584
  • Abstract
    The sensor array pattern is the spatial response of an array of sensors to an incident monochromatic plane wave. It is known to have a resolution which is a function of the number of sensors. In some applications the number of sensors may be small for technical or economical reasons. The authors present and analyse a feedforward neural network structure which is able, by learning, to improve the resolution of the array pattern for a fixed and small number of sensors
  • Keywords
    array signal processing; feedforward neural nets; learning (artificial intelligence); sensors; feedforward neural network structure; incident monochromatic plane wave; resolution; sensor array pattern; spatial response; Array signal processing; Direction of arrival estimation; Feedforward neural networks; Information analysis; Neural networks; Pattern analysis; Sensor arrays; Signal analysis; Signal resolution; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks for Signal Processing [1994] IV. Proceedings of the 1994 IEEE Workshop
  • Conference_Location
    Ermioni
  • Print_ISBN
    0-7803-2026-3
  • Type

    conf

  • DOI
    10.1109/NNSP.1994.366008
  • Filename
    366008