Synthesis of Unequally Spaced Linear Antenna Arrays with Minimum Element Spacing Constraint by Alternating Convex Optimization

You, P; Liu, Y; Chen, SL; Da, K; Li, W; Liu, QH

Synthesis of Unequally Spaced Linear Antenna Arrays with Minimum Element Spacing Constraint by Alternating Convex Optimization

You, P Liu, Y

Chen, SL

Da, K Li, W Liu, QH

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Publication Type:: Journal Article
Citation:: IEEE Antennas and Wireless Propagation Letters, 2017, 16 pp. 3126 - 3130
Issue Date:: 2017-10-16

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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	Chen, SL https://orcid.org/0000-0002-4275-0462	en_US
dc.contributor.author	Da, K	en_US
dc.contributor.author	Li, W	en_US
dc.contributor.author	Liu, QH	en_US
dc.date.available	2020-05-25T19:19:49Z
dc.date.issued	2017-10-16	en_US
dc.identifier.citation	IEEE Antennas and Wireless Propagation Letters, 2017, 16 pp. 3126 - 3130	en_US
dc.identifier.issn	1536-1225	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126844
dc.description.abstract	© 2002-2011 IEEE. A novel method called alternating convex optimization is presented to synthesize unequally spaced linear arrays with minimum element spacing constraint. In this method, the problem of synthesizing an unequally spaced array is formulated as a sequence of alternating convex optimization problems, and the excitation vector and auxiliary weighting vector are alternately chosen as the optimization variables. The minimum spacing constraint for considering the physical element antenna size can be easily imposed in this alternating optimization process. Two examples for synthesizing unequally spaced linear arrays with focused and shaped patterns are provided to validate the effectiveness and advantages of the proposed method.	en_US
dc.relation.ispartof	IEEE Antennas and Wireless Propagation Letters	en_US
dc.relation.isbasedon	10.1109/LAWP.2017.2764069	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Synthesis of Unequally Spaced Linear Antenna Arrays with Minimum Element Spacing Constraint by Alternating Convex Optimization	en_US
dc.type	Journal Article
utslib.citation.volume	16	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.publication-status	Published	en_US
pubs.volume	16	en_US

Abstract:

© 2002-2011 IEEE. A novel method called alternating convex optimization is presented to synthesize unequally spaced linear arrays with minimum element spacing constraint. In this method, the problem of synthesizing an unequally spaced array is formulated as a sequence of alternating convex optimization problems, and the excitation vector and auxiliary weighting vector are alternately chosen as the optimization variables. The minimum spacing constraint for considering the physical element antenna size can be easily imposed in this alternating optimization process. Two examples for synthesizing unequally spaced linear arrays with focused and shaped patterns are provided to validate the effectiveness and advantages of the proposed method.

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http://hdl.handle.net/10453/126844