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
Link To Document :
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