• DocumentCode
    1004259
  • Title

    Closed Form Modal Green´s Functions for Accelerated Computation of Bodies of Revolution

  • Author

    Yu, Wen Ming ; Fang, Da Gang ; Cui, Tie Jun

  • Author_Institution
    Sch. of Electron. & Photoelectric Technol., Nanjing Univ. of Sci. & Technol., Nanjing
  • Volume
    56
  • Issue
    11
  • fYear
    2008
  • Firstpage
    3452
  • Lastpage
    3461
  • Abstract
    To solve problems of bodies of revolution (BoR) using the method of moments, the modal Green´s function is used, which is defined as the radiation field of a circular loop antenna with sinusoidal current distribution. It is a group of oscillating integrals that forms the bottleneck for further accelerating the computation of BoR problems. In this paper, we propose closed-form expressions for near-axis far-distance modal Green´s functions, which can be used to accelerate the computation of BoR problems especially when the object is slim. A criterion is presented based on a rigorous error analysis to guarantee its range of applications. Both the scattering and radiation examples are presented to demonstrate the validity and efficiency of the proposed expressions.
  • Keywords
    Green´s function methods; computational electromagnetics; electromagnetic wave scattering; error analysis; integral equations; loop antennas; method of moments; bodies of revolution; circular loop antenna; closed form modal Green function; field radiation; method of moment; near-axis far-distance modal function; rigorous error analysis; sinusoidal current distribution; Acceleration; Closed-form solution; Current distribution; Distributed computing; Error analysis; Green´s function methods; Magnetic fields; Millimeter wave technology; Moment methods; Scattering; Bodies of revolution (BoR); closed-form expression; modal Green´s function (MGF);
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2008.2005459
  • Filename
    4685893