• DocumentCode
    2791170
  • Title

    Antenna design through variable-fidelity simulation-driven optimization

  • Author

    Koziel, Slawomir ; Ogurtsov, Stanislav

  • Author_Institution
    Eng. Optimization & Modeling Center, Reykjavik Univ., Reykjavik, Iceland
  • fYear
    2011
  • fDate
    14-15 Nov. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In most cases, the adjustment of antenna geometry parameters requires repetitive electromagnetic (EM) simulations. As accurate, high-fidelity EM simulations are computationally expensive, an automated optimization process by embedding the EM solver directly into the optimization algorithm may be prohibitive. In this paper, a simple yet efficient simulation-driven design methodology of antenna structures is discussed and demonstrated. Our approach exploits a family of EM-based models of increasing discretization density that are sequentially optimized with the optimal design of the lower-fidelity model being the initial design for the higher-fidelity one. The design is further refined using a suitable response surface approximation model. We show that-using this technique-an optimized antenna design can be obtained at a low computational cost. Two examples are provided: a wideband microstrip antenna and a double ring antenna.
  • Keywords
    antenna theory; optimisation; EM solver; EM-based models; antenna geometry parameters; automated optimization process; discretization density; double ring antenna; high-fidelity EM simulations; optimized antenna design; repetitive EM simulations; repetitive electromagnetic simulations; simulation-driven design; variable-fidelity simulation-driven optimization; wideband microstrip antenna; Computational modeling; Dielectric resonator antennas; Microstrip antennas; Optimization; Radio frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Conference (LAPC), 2011 Loughborough
  • Conference_Location
    Loughborough
  • Print_ISBN
    978-1-4577-1014-8
  • Electronic_ISBN
    978-1-4577-1015-5
  • Type

    conf

  • DOI
    10.1109/LAPC.2011.6114019
  • Filename
    6114019