• DocumentCode
    1128625
  • Title

    Geometric Design and Comparison of Multifaceted Antenna Arrays for Hemispherical Coverage

  • Author

    Khalifa, Inas ; Vaughan, Rodney G.

  • Author_Institution
    Dept. of Eng. Math. & Phys., Cairo Univ., Cairo, Egypt
  • Volume
    57
  • Issue
    9
  • fYear
    2009
  • Firstpage
    2608
  • Lastpage
    2614
  • Abstract
    We address the optimization of the geometric design of two classes of multifaceted antenna arrays, namely, pyramids and pyramidal frusta. The optimization involves choosing the face elevation and the number of arrays. The optimal face elevation minimizes the maximum scan angle encountered by the arrays, given a general hemispherical coverage requirement. Firstly, an approach is presented to compute the face elevation of the pyramidal frustum, based on equalizing the maximum scan angles. It is demonstrated that the equalization-based approach is not always optimal. Secondly, a new optimal approach based on minimax optimization is presented and used for both pyramids and pyramidal frusta, along with a comparison of the two approaches. Finally, the choice of the number of arrays is addressed using different cost functions including scan angles, scan losses, antenna dimensions, geometric directivity, and total number of antenna elements. Quantitative guidelines on how to choose among planar, pyramidal, and pyramidal frustum antenna systems are outlined.
  • Keywords
    antenna arrays; geometry; minimax techniques; equalization-based approach; geometric design; hemispherical coverage; minimax optimization; multifaceted antenna arrays; optimal face elevation; pyramidal frusta; Antenna arrays; Cost function; Design optimization; Guidelines; Minimax techniques; Planar arrays; Radar tracking; Radio astronomy; Satellite communication; Surveillance; Antenna arrays; hemispherical scan coverage; maximum scan angle; pyramid; pyramidal frustum;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2009.2027085
  • Filename
    5159509