Synthesizing Uniform Amplitude Sparse Dipole Arrays with Shaped Patterns by Joint Optimization of Element Positions, Rotations and Phases

Liu, F; Liu, Y; Xu, KD; Ban, YL; Liu, QH; Guo, YJ

Synthesizing Uniform Amplitude Sparse Dipole Arrays with Shaped Patterns by Joint Optimization of Element Positions, Rotations and Phases

Liu, F Liu, Y

Xu, KD Ban, YL Liu, QH Guo, YJ

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Antennas and Propagation, 2019, 67, (9), pp. 6017-6028
Issue Date:: 2019-09-01

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Field	Value	Language
dc.contributor.author	Liu, F
dc.contributor.author	Liu, Y https://orcid.org/0000-0001-5466-0184
dc.contributor.author	Xu, KD
dc.contributor.author	Ban, YL
dc.contributor.author	Liu, QH
dc.contributor.author	Guo, YJ
dc.date.accessioned	2021-02-22T08:55:24Z
dc.date.available	2021-02-22T08:55:24Z
dc.date.issued	2019-09-01
dc.identifier.citation	IEEE Transactions on Antennas and Propagation, 2019, 67, (9), pp. 6017-6028
dc.identifier.issn	0018-926X
dc.identifier.issn	1558-2221
dc.identifier.uri	http://hdl.handle.net/10453/146286
dc.description.abstract	© 1963-2012 IEEE. This paper presents a novel method for synthesizing sparse dipole arrays with shaped patterns by joint optimization of element positions, rotations and phases. Such joint optimization exploits maximum available degrees-of-freedom under the assumption of uniform amplitude excitations to improve the shaped power pattern synthesis performance, and it leads to a reduced number of elements and simpler feeding network without using unequal power dividers for the array. The copolarization (COP) and cross-polarization patterns for a rotated dipole array are derived in a 2-D case, and then the vectorial shaped pattern synthesis problem is formulated as finding the optimal solution by maximally approaching the desired COP pattern shape under multiple constraints on the sidelobe level (SLL) and cross-polarization level (XPL). In addition, an asymmetric mapping method is incorporated into the proposed joint optimization, so that the minimum element spacing constraint can be also used for the synthesis of planar sparse dipole arrays. The comprehensive learning particle swarm optimization (CLPSO) algorithm is adopted to optimize the element positions, rotation angles and phases. A set of synthesis experiments including linear and planar rotated dipole arrays with a different pattern shape requirements are conducted to validate the effectiveness and robustness of the proposed approach. Synthesis results show that the proposed approach can save about 17.24% - 55.86% elements as well as many unequal power dividers for test cases.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Antennas and Propagation
dc.relation.isbasedon	10.1109/TAP.2019.2920238
dc.rights	© 2019 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.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	Synthesizing Uniform Amplitude Sparse Dipole Arrays with Shaped Patterns by Joint Optimization of Element Positions, Rotations and Phases
dc.type	Journal Article
utslib.citation.volume	67
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
utslib.for	0906 Electrical and Electronic Engineering
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
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
dc.date.updated	2021-02-22T08:55:10Z
pubs.issue	9
pubs.publication-status	Published
pubs.volume	67
utslib.citation.issue	9

Abstract:

© 1963-2012 IEEE. This paper presents a novel method for synthesizing sparse dipole arrays with shaped patterns by joint optimization of element positions, rotations and phases. Such joint optimization exploits maximum available degrees-of-freedom under the assumption of uniform amplitude excitations to improve the shaped power pattern synthesis performance, and it leads to a reduced number of elements and simpler feeding network without using unequal power dividers for the array. The copolarization (COP) and cross-polarization patterns for a rotated dipole array are derived in a 2-D case, and then the vectorial shaped pattern synthesis problem is formulated as finding the optimal solution by maximally approaching the desired COP pattern shape under multiple constraints on the sidelobe level (SLL) and cross-polarization level (XPL). In addition, an asymmetric mapping method is incorporated into the proposed joint optimization, so that the minimum element spacing constraint can be also used for the synthesis of planar sparse dipole arrays. The comprehensive learning particle swarm optimization (CLPSO) algorithm is adopted to optimize the element positions, rotation angles and phases. A set of synthesis experiments including linear and planar rotated dipole arrays with a different pattern shape requirements are conducted to validate the effectiveness and robustness of the proposed approach. Synthesis results show that the proposed approach can save about 17.24% - 55.86% elements as well as many unequal power dividers for test cases.

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http://hdl.handle.net/10453/146286