Comparative Study of Optimization Algorithms on the Design of Broadband Antennas

Kovaleva, M; Bulger, D; Esselle, K

Comparative Study of Optimization Algorithms on the Design of Broadband Antennas

Kovaleva, M Bulger, D Esselle, K

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Publisher:: IEEE
Publication Type:: Journal Article
Citation:: IEEE Journal on Multiscale and Multiphysics Computational Techniques, 2020, 5, pp. 89-98
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Kovaleva, M
dc.contributor.author	Bulger, D
dc.contributor.author	Esselle, K https://orcid.org/0000-0002-3681-0086
dc.date.accessioned	2020-11-13T19:54:50Z
dc.date.available	2020-11-13T19:54:50Z
dc.date.issued	2020-01-01
dc.identifier.citation	IEEE Journal on Multiscale and Multiphysics Computational Techniques, 2020, 5, pp. 89-98
dc.identifier.issn	2379-8815
dc.identifier.issn	2379-8793
dc.identifier.uri	http://hdl.handle.net/10453/143983
dc.description.abstract	IEEE Broadband antennas find many applications in modern communication systems, such as Wi-Fi, 5G and SatCom. Multiple competing optimization methods are available for the application to antenna design, while it would be preferable to know in advance if any method is superior. Here, an application of the cross-entropy method, along with particle swarm optimization and covariance matrix adaptation evolutionary strategy, to the design of broadband antennas is presented. The first example is an aperture-coupled microstrip patch antenna that has 9.5~dBi peak directivity and 53\% bandwidth after optimization. It is then used as a feed in a high-gain broadband resonant cavity antenna. Using an all-dielectric superstrate with a transverse permittivity gradient, a compact thin resonant cavity antenna with a peak directivity of 19~dBi and 40\% 3-dB bandwidth was designed. A comparative analysis of the cross-entropy method, particle swarm optimization and covariance matrix adaptation evolutionary strategy applied to these two problems was carried out to provide the basis for further optimization of antennas in radio frequency and microwave frequency bands. We found that although all three methods reached a similar solution, the cross-entropy method has a speed advantage. It improves our ability to optimize existing designs and has wider applicability beyond antenna engineering.
dc.language	en
dc.publisher	IEEE
dc.relation	http://purl.org/au-research/grants/arc/DP190103352
dc.relation.ispartof	IEEE Journal on Multiscale and Multiphysics Computational Techniques
dc.relation.isbasedon	10.1109/JMMCT.2020.3000563
dc.rights	info:eu-repo/semantics/closedAccess
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Comparative Study of Optimization Algorithms on the Design of Broadband Antennas
dc.type	Journal Article
utslib.citation.volume	5
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0805 Distributed Computing
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-11-13T19:54:46Z
pubs.publication-status	Published
pubs.volume	5

Abstract:

IEEE Broadband antennas find many applications in modern communication systems, such as Wi-Fi, 5G and SatCom. Multiple competing optimization methods are available for the application to antenna design, while it would be preferable to know in advance if any method is superior. Here, an application of the cross-entropy method, along with particle swarm optimization and covariance matrix adaptation evolutionary strategy, to the design of broadband antennas is presented. The first example is an aperture-coupled microstrip patch antenna that has 9.5~dBi peak directivity and 53\% bandwidth after optimization. It is then used as a feed in a high-gain broadband resonant cavity antenna. Using an all-dielectric superstrate with a transverse permittivity gradient, a compact thin resonant cavity antenna with a peak directivity of 19~dBi and 40\% 3-dB bandwidth was designed. A comparative analysis of the cross-entropy method, particle swarm optimization and covariance matrix adaptation evolutionary strategy applied to these two problems was carried out to provide the basis for further optimization of antennas in radio frequency and microwave frequency bands. We found that although all three methods reached a similar solution, the cross-entropy method has a speed advantage. It improves our ability to optimize existing designs and has wider applicability beyond antenna engineering.

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http://hdl.handle.net/10453/143983