Worst-case performance optimization beamformer with embedded array’s active pattern

Luo, Y; Pan, J; Zhang, JA; Huang, S

Worst-case performance optimization beamformer with embedded array’s active pattern

Luo, Y

Pan, J Zhang, JA

Huang, S

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Publication Type:: Journal Article
Citation:: International Journal of Antennas and Propagation, 2018, 2018
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Luo, Y https://orcid.org/0000-0002-1994-2650	en_US
dc.contributor.author	Pan, J	en_US
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Huang, S	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	International Journal of Antennas and Propagation, 2018, 2018	en_US
dc.identifier.issn	1687-5869	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131196
dc.description.abstract	Copyright © 2018 Yuyue Luo et al. This paper proposes an adaptive array beamforming method by embedding antennas’ active pattern in the worst-case performance optimization algorithm. This method can significantly reduce the beamformer’s performance degradation caused by inconsistency between hypothesized ideal array models and practical ones. Simulation and measured results consistently demonstrate the robustness and effectiveness of the proposed method in dealing with array manifold mismatches.	en_US
dc.relation.ispartof	International Journal of Antennas and Propagation	en_US
dc.relation.isbasedon	10.1155/2018/9237321	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Worst-case performance optimization beamformer with embedded array’s active pattern	en_US
dc.type	Journal Article
utslib.citation.volume	2018	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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018	en_US

Abstract:

Copyright © 2018 Yuyue Luo et al. This paper proposes an adaptive array beamforming method by embedding antennas’ active pattern in the worst-case performance optimization algorithm. This method can significantly reduce the beamformer’s performance degradation caused by inconsistency between hypothesized ideal array models and practical ones. Simulation and measured results consistently demonstrate the robustness and effectiveness of the proposed method in dealing with array manifold mismatches.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/131196