Angle-of-Arrival Estimation Using Different Phase Shifts Across Subarrays in Localized Hybrid Arrays

Zhang, JA; Ni, W; Cheng, P; Lu, Y

Angle-of-Arrival Estimation Using Different Phase Shifts Across Subarrays in Localized Hybrid Arrays

Zhang, JA

Ni, W

Cheng, P Lu, Y

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Publication Type:: Journal Article
Citation:: IEEE Communications Letters, 2016, 20 (11), pp. 2205 - 2208
Issue Date:: 2016-11-01

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Field	Value	Language
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.contributor.author	Cheng, P	en_US
dc.contributor.author	Lu, Y	en_US
dc.date.issued	2016-11-01	en_US
dc.identifier.citation	IEEE Communications Letters, 2016, 20 (11), pp. 2205 - 2208	en_US
dc.identifier.issn	1089-7798	en_US
dc.identifier.uri	http://hdl.handle.net/10453/68887
dc.description.abstract	© 1997-2012 IEEE. Angle-of-arrival (AoA) estimation, even for a single arriving signal, in a localized hybrid array is challenging and time-consuming due to a phase ambiguity problem. Subarrays use the same phase shifting values conventionally to exploit cross correlation between them. This results in the requirement of scanning multiple angles over excessively long periods to resolve the phase ambiguity problem. In this letter, we propose an approach which allows subarrays to use different phase shifts per estimation and can resolve the ambiguity problem by directly estimating the desired AoA parameter. This can potentially speed up the estimation and improve the estimation performance significantly. Simulation results are provided to demonstrate the effectiveness of the proposed approach.	en_US
dc.relation.ispartof	IEEE Communications Letters	en_US
dc.relation.isbasedon	10.1109/LCOMM.2016.2602822	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Angle-of-Arrival Estimation Using Different Phase Shifts Across Subarrays in Localized Hybrid Arrays	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	20	en_US
utslib.for	0805 Distributed Computing	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	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	20	en_US

Abstract:

© 1997-2012 IEEE. Angle-of-arrival (AoA) estimation, even for a single arriving signal, in a localized hybrid array is challenging and time-consuming due to a phase ambiguity problem. Subarrays use the same phase shifting values conventionally to exploit cross correlation between them. This results in the requirement of scanning multiple angles over excessively long periods to resolve the phase ambiguity problem. In this letter, we propose an approach which allows subarrays to use different phase shifts per estimation and can resolve the ambiguity problem by directly estimating the desired AoA parameter. This can potentially speed up the estimation and improve the estimation performance significantly. Simulation results are provided to demonstrate the effectiveness of the proposed approach.

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http://hdl.handle.net/10453/68887