• DocumentCode
    48663
  • Title

    Reflectarray Design With Similarity-Shaped Fragmented Sub-Wavelength Elements

  • Author

    Ethier, Jonathan L. T. ; McNamara, Derek A. ; Chaharmir, M.R. ; Shaker, Jafar

  • Author_Institution
    Univ. of Ottawa, Ottawa, ON, Canada
  • Volume
    62
  • Issue
    9
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    4498
  • Lastpage
    4509
  • Abstract
    A new technique for synthesizing reflectarray antennas is presented. It utilizes fragmented elements in a manner that allows the elements of the reflectarray to be shaped-optimized so that a high degree of geometrical similarity is maintained between adjacent elements. The implication is that in a reflectarray of such elements each element will see an electromagnetic environment that more closely emulates the infinite periodic one used to compute the element properties. We show experimentally that this indeed results in aperture efficiencies closely approaching the upper bounds achievable for some selected feed system, and offers a significant improvement over that obtained with conventional reflectarrays (that is, those not using similarity-synthesized fragmented elements). It is also shown that a reflectarray surface that uses fragmented elements can be simultaneously patterned with a visual image while still closely maintaining the desired reflection phase from its surface to yield a high-gain antenna.
  • Keywords
    antenna feeds; reflectarray antennas; electromagnetic environment; feed system; fragmented subwavelength elements; high-gain antenna; reflectarray design; reflectarray surface; Apertures; Databases; Finite element analysis; Optimization; Reflection; Shape; Surface impedance; Aperture efficiency; fragmented similarity-optimized reflectarray elements; mosaic reflectarray; sub-wavelength elements;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2014.2330578
  • Filename
    6832513