• DocumentCode
    247175
  • Title

    The use of inverse neural networks in transmitarray antenna design

  • Author

    Gosal, G. ; McNamara, Derek A. ; Yagoub, M.C.E.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    1272
  • Lastpage
    1273
  • Abstract
    The design of transmitarray antennas usually utilizes a database consisting of the complex transmission coefficient values of an element as a function of its controllable geometrical features. In the design process this database needs to be “inverted” so that transmission coefficients can be input and geometrical feature values output. When more than one such feature applies the latter process is not entirely straightforward, but inverse neural networks can be used for such purposes.
  • Keywords
    antenna arrays; inverse problems; lens antennas; neural nets; transmitting antennas; inverse neural networks; transmission coefficient values; transmitarray antenna design; Artificial neural networks; Databases; Lenses; Microwave antennas; Reflector antennas; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
  • Conference_Location
    Memphis, TN
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4799-3538-3
  • Type

    conf

  • DOI
    10.1109/APS.2014.6904963
  • Filename
    6904963