• DocumentCode
    743093
  • Title

    Variable-Fidelity Electromagnetic Simulations and Co-Kriging for Accurate Modeling of Antennas

  • Author

    Koziel, Slawomir ; Ogurtsov, Stanislav ; Couckuyt, Ivo ; Dhaene, Tom

  • Author_Institution
    Eng. Optimization & Modeling Center, Reykjavik Univ., Reykjavik, Iceland
  • Volume
    61
  • Issue
    3
  • fYear
    2013
  • fDate
    3/1/2013 12:00:00 AM
  • Firstpage
    1301
  • Lastpage
    1308
  • Abstract
    Accurate and fast models are indispensable in contemporary antenna design. In this paper, we describe the low-cost antenna modeling methodology involving variable-fidelity electromagnetic (EM) simulations and co-Kriging. Our approach exploits sparsely sampled accurate (high-fidelity) EM data as well as densely sampled coarse-discretization (low-fidelity) EM simulations that are accommodated into one model using the co-Kriging technique. By using coarse-discretization simulations, the computational cost of creating the antenna model is greatly reduced compared to conventional approaches, where high-fidelity simulations are directly used to set up the model. At the same time, the modeling accuracy is not compromised. The proposed technique is demonstrated using three examples of antenna structures. Comparisons with conventional modeling based on high-fidelity data approximation, as well as applications for antenna design, are also discussed.
  • Keywords
    antennas; electromagnetic field theory; statistical analysis; EM simulation; coKriging; coarse-discretization simulations; contemporary antenna design; high-fidelity data approximation; variable-fidelity electromagnetic simulation; Antennas; Computational modeling; Correlation; Data models; Integrated circuit modeling; Radio frequency; Training; Antenna modeling; Kriging; co-Kriging; computer-aided design; electromagnetic simulation; surrogate modeling;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2012.2231924
  • Filename
    6374214