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Rapid dimension scaling of triple-band antennas by means of inverse surrogate modeling

Abstract

Geometry scaling of antennas, i.e., finding optimum dimensions of the structure for given operating conditions and material parameters is an important yet challenging problem. In this paper, we discuss fast dimension scaling of triple-band antennas with respect to operating frequencies. We adopt the inverse surrogate modeling approach where the surrogate model is a function of the three operating frequencies of the antenna and returns the values of its geometry parameters. Because the surrogate is constructed at the level of coarse-mesh lectromagnetic (EM) simulation model, a correction is implemented to allow antenna scaling at a high-fidelity model level. Our considerations are illustrated using a triple-band uniplanar dipole antenna.

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting strony 2201 - 2202
Language:
English
Publication year:
2017
Bibliographic description:
Kozieł S., Bekasiewicz A.: Rapid dimension scaling of triple-band antennas by means of inverse surrogate modeling// 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting/ : , 2017, s.2201-2202
DOI:
Digital Object Identifier (open in new tab) 10.1109/apusncursinrsm.2017.8073143
Verified by:
Gdańsk University of Technology

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