• DocumentCode
    1469233
  • Title

    Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays

  • Author

    Zooghby, A.H.El. ; Christodoulou, C.G. ; Georgiopoulos, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Central Florida Univ., Orlando, FL, USA
  • Volume
    46
  • Issue
    12
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    1891
  • Lastpage
    1893
  • Abstract
    We present a neural network approach to the problem of finding the weights of one- (1-D) and two-dimensional (2-D) adaptive arrays. In modern cellular satellite mobile communications systems and in global positioning systems (GPSs), both desired and interfering signals change their directions continuously. Therefore, a fast tracking system is needed to constantly track the users and then adapt the radiation pattern of the antenna to direct multiple narrow beams to desired users and nulls interfering sources. In the approach suggested in this paper, the computation of the optimum weights is accomplished using three-layer radial basis function neural networks (RBFNN). The results obtained from this network are in excellent agreement with the Wiener solution
  • Keywords
    Global Positioning System; adaptive antenna arrays; array signal processing; cellular radio; direction-of-arrival estimation; interference suppression; linear antenna arrays; mobile satellite communication; radial basis function networks; radiofrequency interference; telecommunication computing; 1D antenna array; 2D antenna array; GPS; Wiener solution; adaptive arrays; cellular satellite mobile communications systems; fast tracking system; global positioning systems; interfering signals; interfering sources nulling; linear array; neural network-based adaptive beamforming; optimum weights; radiation pattern; three-layer radial basis function neural networks; weights; Adaptive arrays; Adaptive systems; Antenna radiation patterns; Array signal processing; Artificial satellites; Computer networks; Mobile communication; Neural networks; Radial basis function networks; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.743843
  • Filename
    743843