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Cost-efficient design optimization of compact patch antennas with improved bandwidth

Abstract

In this letter, a surrogate-assisted optimization procedure for fast design of compact patch antennas with enhanced bandwidth is presented. The procedure aims at addressing a fundamental challenge of the design of antenna structures with complex topologies, which is simultaneous adjustment of numerous geometry parameters. The latter is necessary in order to find a truly optimum design and cannot be executed-at the level of high-fidelity electromagnetic (EM)-simulation models-using conventional numerical optimization procedures due to prohibitive computational cost. Here, we employ coarse-discretization EM simulations as faster representation of the antenna under design (referred to as a low-fidelity model). The low-fidelity model is enhanced using a combination of frequency scaling and response correction techniques. Frequency scaling is particularly suitable for reducing misalignment between EM models of various fidelities in case of narrowband structures. Iterative correction-prediction loop is capable to identify an optimum design at a reasonably low computational cost while adjusting all relevant geometry parameters at the same time. For the sake of illustration, we consider a modified patch antenna based on transversal signal-interference feed and additional slots in the radiator. Upon optimization, the antenna provided 29% bandwidth while maintaining a compact footprint of 645 mm2. Experimental validation is also provided.

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Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
IEEE Antennas and Wireless Propagation Letters no. 15, pages 270 - 273,
ISSN: 1536-1225
Language:
English
Publication year:
2016
Bibliographic description:
Bekasiewicz A., Kozieł S.: Cost-efficient design optimization of compact patch antennas with improved bandwidth// IEEE Antennas and Wireless Propagation Letters. -Vol. 15, (2016), s.270-273
DOI:
Digital Object Identifier (open in new tab) 10.1109/lawp.2015.2440391
Verified by:
Gdańsk University of Technology

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