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
Link To Document :
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