• DocumentCode
    1265850
  • Title

    Design of a Contoured-Beam Reflectarray for a EuTELSAT European Coverage Using a Stacked-Patch Element Characterized by an Artificial Neural Network

  • Author

    Robustillo, P. ; Zapata, J. ; Encinar, J.A. ; Arrebola, M.

  • Author_Institution
    Univ. Politec. de Madrid, Madrid, Spain
  • Volume
    11
  • fYear
    2012
  • fDate
    7/4/1905 12:00:00 AM
  • Firstpage
    977
  • Lastpage
    980
  • Abstract
    The design of a reflectarray for satellite applications is accomplished in this letter. The use of full-wave electromagnetic methods to compute the reflectarray elements in the design process has been replaced by the characterization of the reflectarray elements by artificial neural networks (ANNs). The antenna is designed to provide coverage in Ku-band to a European region defined by EuTELSAT. The results obtained using ANN in the design are compared to those obtained from the method of moments (MoM), and a good agreement is achieved. The speedup factor between reflectarray optimization by both the ANN and the MoM is in the order of 102. Hence, the use of ANN is presented here as a promising fast technique in the design of reflectarrays.
  • Keywords
    computational electromagnetics; microstrip antenna arrays; microwave antenna arrays; neural nets; reflectarray antennas; satellite antennas; telecommunication computing; EuTELSAT European coverage; Ku-band; artificial neural network; contoured beam reflectarray; full wave electromagnetic methods; reflectarray optimization; stacked patch element; Artificial neural networks; Moment methods; Optimization; Reflector antennas; Training; Artificial neural networks (ANNs); contoured-beam reflectarray; reflectarray; reflectarray design;
  • fLanguage
    English
  • Journal_Title
    Antennas and Wireless Propagation Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1225
  • Type

    jour

  • DOI
    10.1109/LAWP.2012.2213567
  • Filename
    6269915