Generalisation of genetic algorithm and fast Fourier transform for synthesising unequally spaced linear array shaped pattern including coupling effects

You, P; Liu, Y; Xu, K; Zhu, C; Liu, QH

Generalisation of genetic algorithm and fast Fourier transform for synthesising unequally spaced linear array shaped pattern including coupling effects

You, P Liu, Y

Xu, K Zhu, C Liu, QH

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Publication Type:: Journal Article
Citation:: IET Microwaves, Antennas and Propagation, 2017, 11 (6), pp. 827 - 832
Issue Date:: 2017-05-12

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Field	Value	Language
dc.contributor.author	You, P	en_US
dc.contributor.author	Liu, Y https://orcid.org/0000-0001-5466-0184	en_US
dc.contributor.author	Xu, K	en_US
dc.contributor.author	Zhu, C	en_US
dc.contributor.author	Liu, QH	en_US
dc.date.issued	2017-05-12	en_US
dc.identifier.citation	IET Microwaves, Antennas and Propagation, 2017, 11 (6), pp. 827 - 832	en_US
dc.identifier.issn	1751-8725	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127005
dc.description.abstract	© The Institution of Engineering and Technology. Antenna arrays with shaped patterns have drawn significant attention for their wide applications in radar, sonar and communication systems. The combination of genetic algorithm (GA) and fast Fourier transform (FFT) has been used to synthesise shaped pattern of antenna array's factor without considering coupling effects. In this work, the GA-FFT method is generalised by integrating with a new virtual active element pattern (AEP) expansion method which approximates each AEP as the radiation pattern by exciting several equally spaced virtual elements surrounding the real element position. The generalised GA-FFT can be applied for the shaped pattern synthesis of unequally spaced linear arrays including mutual coupling and platform effect. Several synthesis examples with different pattern shapes and different antenna structures are given to demonstrate the effectiveness, accuracy and robustness of the proposed method.	en_US
dc.relation.ispartof	IET Microwaves, Antennas and Propagation	en_US
dc.relation.isbasedon	10.1049/iet-map.2016.0773	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Generalisation of genetic algorithm and fast Fourier transform for synthesising unequally spaced linear array shaped pattern including coupling effects	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	11	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
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/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	11	en_US

Abstract:

© The Institution of Engineering and Technology. Antenna arrays with shaped patterns have drawn significant attention for their wide applications in radar, sonar and communication systems. The combination of genetic algorithm (GA) and fast Fourier transform (FFT) has been used to synthesise shaped pattern of antenna array's factor without considering coupling effects. In this work, the GA-FFT method is generalised by integrating with a new virtual active element pattern (AEP) expansion method which approximates each AEP as the radiation pattern by exciting several equally spaced virtual elements surrounding the real element position. The generalised GA-FFT can be applied for the shaped pattern synthesis of unequally spaced linear arrays including mutual coupling and platform effect. Several synthesis examples with different pattern shapes and different antenna structures are given to demonstrate the effectiveness, accuracy and robustness of the proposed method.

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http://hdl.handle.net/10453/127005