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Rapid design optimization of antennas using space mapping and response surface approximation models
Author(s) -
Koziel Slawomir,
Ogurtsov Stanislav
Publication year - 2011
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20555
Subject(s) - space mapping , interpolation (computer graphics) , surrogate model , antenna (radio) , kriging , computer science , surface (topology) , microwave , space (punctuation) , electronic engineering , mathematical optimization , computational science , mathematics , algorithm , engineering , telecommunications , geometry , frame (networking) , machine learning , operating system
A computationally efficient method for design optimization of antennas is discussed. It combines space mapping, used as the optimization engine, and response surface approximation, used to create the fast surrogate model of the optimized antenna. The surrogate is configured from the response of the coarse‐mesh electromagnetic model of the antenna, and implemented through kriging interpolation. We provide a comprehensive numerical verification of this technique as well as demonstrate its capability to yield a satisfactory design after a few full‐wave simulations of the original structure. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2011.