• DocumentCode
    3540362
  • Title

    Multipole-accelerated compressive domain decomposition for the efficient analysis of finite printed antenna arrays

  • Author

    Gonzalez-Ovejero, David ; Mesa, Francisco ; Craeye, Christophe

  • Author_Institution
    Dept. of Inf. Eng. & Math. Sci., Univ. of Siena, Siena, Italy
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    1160
  • Lastpage
    1163
  • Abstract
    A technique is presented for the efficient analysis of finite printed antenna arrays made of identical elements. A multipole expansion can be obtained for planar layered medium GFs, and exploited to provide a fast evaluation of the reaction integrals between the Macro Basis Functions used to compress the original problem after decomposing it into subdomains (the array elements). The computational complexity of that evaluation is dominated by the operations related to the spherical wave term. Thus, taking into account the layered medium does not increase the order of the complexity, as compared to the case of a homogeneous medium. Examples are provided for non-periodic antenna arrays and for 2D periodic leaky-wave antennas.
  • Keywords
    Green´s function methods; computational complexity; inhomogeneous media; leaky wave antennas; microstrip antenna arrays; 2D periodic leaky-wave antennas; array elements; computational complexity; finite printed antenna arrays; homogeneous medium; identical elements; macro basis functions; multipole expansion; multipole-accelerated compressive domain decomposition; nonperiodic antenna arrays; planar layered medium; reaction integrals; spherical wave; Acceleration; Antenna arrays; Complexity theory; Impedance; Method of moments; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetics in Advanced Applications (ICEAA), 2013 International Conference on
  • Conference_Location
    Torino
  • Print_ISBN
    978-1-4673-5705-0
  • Type

    conf

  • DOI
    10.1109/ICEAA.2013.6632426
  • Filename
    6632426