Angle-of-arrival acquisition and tracking via virtual subarrays in an analog array

Qin, C; Zhang, JA; Huang, X; Guo, YJ

Angle-of-arrival acquisition and tracking via virtual subarrays in an analog array

Qin, C

Zhang, JA

Huang, X

Guo, YJ

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2019, 2019-September
Issue Date:: 2019-09-01

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Field	Value	Language
dc.contributor.author	Qin, C https://orcid.org/0000-0001-8869-7209	en_US
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.issued	2019-09-01	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2019, 2019-September	en_US
dc.identifier.isbn	9781728112206	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137476
dc.description.abstract	© 2019 IEEE. Angle-of-arrival (AoA) estimation is a challenging problem for analog antenna arrays. Typical algorithms use beam scanning and sweeping, which can be time-consuming, and the resolution is limited to the scanning step. In this paper, we propose a virtual-subarray based AoA estimation scheme, which divides an analog array into two virtual subarrays and can obtain a direct AoA estimate from every two temporal measurements. We propose different subarray constructions which lead to different range and accuracy of estimation. We provide detailed beamforming vector designs for these constructions and provide a performance lower bound for the estimator. We also present how to apply the estimator to AoA acquisition and tracking. Simulation results demonstrate that the proposed scheme significantly outperforms existing ones when the signal-to-noise ratio is not very low.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VTCFall.2019.8891202	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Angle-of-arrival acquisition and tracking via virtual subarrays in an analog array	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2019-September	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	*
utslib.copyright.embargo	2021-09-02T00:00:00+1000
pubs.publication-status	Published	en_US
pubs.volume	2019-September	en_US

Abstract:

© 2019 IEEE. Angle-of-arrival (AoA) estimation is a challenging problem for analog antenna arrays. Typical algorithms use beam scanning and sweeping, which can be time-consuming, and the resolution is limited to the scanning step. In this paper, we propose a virtual-subarray based AoA estimation scheme, which divides an analog array into two virtual subarrays and can obtain a direct AoA estimate from every two temporal measurements. We propose different subarray constructions which lead to different range and accuracy of estimation. We provide detailed beamforming vector designs for these constructions and provide a performance lower bound for the estimator. We also present how to apply the estimator to AoA acquisition and tracking. Simulation results demonstrate that the proposed scheme significantly outperforms existing ones when the signal-to-noise ratio is not very low.

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http://hdl.handle.net/10453/137476