• DocumentCode
    522132
  • Title

    Characterization of microstrip reflectarray square ring elements by means of an Artificial Neural Network

  • Author

    Mussetta, M. ; Pirinoli, P. ; Cong, P.T. ; Orefice, M. ; Zich, R.E.

  • Author_Institution
    Dipt. di Elettron., Politec. di Torino, Torino, Italy
  • fYear
    2010
  • fDate
    12-16 April 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper an Artificial Neural Network (ANN) is introduced in order to speed up the optimized design procedure of a printed Reflectarray. The ANN is used to model the reflecting behaviour of patch radiator as a function of its geometric parameters, the angle of incidence and the frequency. When used in the RA design process, the reflection coefficient approximated with the ANN produces results that are very close to those obtained with that directly evaluated, proving the accuracy of the ANN model, which, on the other hand, strongly reduces the computational effort and the data memory storage.
  • Keywords
    Algorithm design and analysis; Analytical models; Artificial neural networks; Design optimization; Frequency; Microstrip; Numerical simulation; Phased arrays; Reflector antennas; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2010 Proceedings of the Fourth European Conference on
  • Conference_Location
    Barcelona, Spain
  • Print_ISBN
    978-1-4244-6431-9
  • Electronic_ISBN
    978-84-7653-472-4
  • Type

    conf

  • Filename
    5505299