• DocumentCode
    1256526
  • Title

    Efficient wavelet-based modelling of printed circuit antenna arrays

  • Author

    Sabet, K.F. ; Cheng, J.C. ; Katehi, L.P.B.

  • Author_Institution
    EMAG Technols. Inc., Ann Arbor, MI, USA
  • Volume
    146
  • Issue
    4
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    298
  • Lastpage
    304
  • Abstract
    The authors present a wavelet-based formulation of the method of moments for the full-wave analysis of printed circuit antennas and arrays. The rooftop multiresolution basis is introduced for the expansion of planar currents. These basis functions satisfy the boundary and edge conditions in an exact manner. It is shown that wavelet-dominated expansion bases generate highly sparse moment matrices. The resulting sparse linear systems are solved numerically using very efficient computational tools. The fast wavelet transform is exploited for the numerical integration of the Green´s function to speed up the filling of the matrix. Extensive results are presented for a microstrip patch antenna and finite size arrays of such antennas. Special emphasis is placed on the solution of large-scale problems, which could not otherwise be treated by conventional moment method implementations
  • Keywords
    Green´s function methods; antenna radiation patterns; antenna theory; integral equations; method of moments; microstrip antenna arrays; planar antenna arrays; sparse matrices; wavelet transforms; Green´s function; basis functions; boundary conditions; edge conditions; fast wavelet transform; finite size arrays; full-wave analysis; highly sparse moment matrices; large-scale problems; method of moments; microstrip patch antenna; numerical integration; numerical solutions; planar currents expansion; printed circuit antenna arrays; rooftop multiresolution basis; sparse linear systems; wavelet-based modelling; wavelet-dominated expansion bases;
  • fLanguage
    English
  • Journal_Title
    Microwaves, Antennas and Propagation, IEE Proceedings
  • Publisher
    iet
  • ISSN
    1350-2417
  • Type

    jour

  • DOI
    10.1049/ip-map:19990558
  • Filename
    799059