• DocumentCode
    2383275
  • Title

    A joint operation of a neural network and a GSC structure applied to linear and planar arrays

  • Author

    Guerreiro, Ana Maria Guimarães ; Neto, Adrião Duarte Dòria ; Lisboa, Fábio Adriano

  • Author_Institution
    Dept. of Electr. Eng., Campus Univ. Lagoa Nova, Natal, Brazil
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    493
  • Abstract
    This paper presents a processing technique for adaptive planar and linear array beamforming. The method is based on a Generalized Sidelobe Canceler (GSC) structure. In wireless communications the mobile stations are always changing places, so it is impossible to know a priori the direction of arrival of the desired signal. An Artificial Neural Network (ANN) was used to predict antenna behavior. A radial basis function (RBF) was chosen because it has an adequate characteristic. The desired direction is given for the GSC structure, which is able to construct the constraint matrix
  • Keywords
    adaptive antenna arrays; array signal processing; interference suppression; linear antenna arrays; planar antenna arrays; radial basis function networks; telecommunication computing; ANN; RBF; adaptive array beamforming; antenna behavior prediction; constraint matrix; generalized sidelobe canceller structure; joint operation; linear arrays; neural network; planar arrays; processing technique; radial basis function; Adaptive arrays; Array signal processing; Artificial neural networks; Directive antennas; Interference cancellation; Linear antenna arrays; Neural networks; Planar arrays; Transmission line matrix methods; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave and Optoelectronics Conference, 1999. SBMO/IEEE MTT-S, APS and LEOS - IMOC '99. International
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    0-7803-5807-4
  • Type

    conf

  • DOI
    10.1109/IMOC.1999.866229
  • Filename
    866229