• DocumentCode
    2174325
  • Title

    Impact of Base Points Distributions on the Polynomial Surrogate Modeling of a Substrate Integrated Waveguide with Microstrip Transitions

  • Author

    Rayas-Sánchez, José E. ; Cordero-Baltazar, Diego E.

  • Author_Institution
    Dept. of Electron., ITESO (Inst. Tecnol. y de Estudios Superiores de Occidente), Tlaquepaque, Mexico
  • fYear
    2010
  • fDate
    Sept. 28 2010-Oct. 1 2010
  • Firstpage
    705
  • Lastpage
    710
  • Abstract
    Surrogate modeling using a polynomial approximation of a coarse model of a Substrate Integrated Wave guide (SIW) with micro strip transitions is presented in this paper. The surrogate modeling process is realized considering different base points distributions, as well as different sizes for the region of interest in order to evaluate their impact on the corresponding surrogate modeling accuracy. The polynomial approximation is a low-order function of the design variables and it is used to approximate electromagnetic responses of the SIW interconnect in a region of interest around the selected central base point. The surrogate modeling process is implemented in Matlab, while the electromagnetic responses of the SIW are obtained using a low-resolution EM model implemented in CST Microwave Studio to speed up the modeling process.
  • Keywords
    microstrip transitions; polynomial approximation; substrate integrated waveguides; CST Microwave Studio; Matlab; SIW interconnect; base points distributions; electromagnetic response; low-order function; microstrip transitions; polynomial approximation; substrate integrated waveguide; Computational modeling; Electromagnetic waveguides; Integrated circuit modeling; Mathematical model; Microstrip; Substrates; Testing; SIW; Surrogate modeling; coarse model; interconnets; polynomial functional interpolants; space mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010
  • Conference_Location
    Morelos
  • Print_ISBN
    978-1-4244-8149-1
  • Type

    conf

  • DOI
    10.1109/CERMA.2010.80
  • Filename
    5692421