Estimation of Multiple Angle-of-Arrivals with Localized Hybrid Subarrays for Millimeter Wave Systems

Ni, Z; Zhang, JA; Yang, K; Gao, F; An, J

Estimation of Multiple Angle-of-Arrivals with Localized Hybrid Subarrays for Millimeter Wave Systems

Ni, Z Zhang, JA Yang, K Gao, F An, J

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Communications, 2020, 68, (3), pp. 1897-1910
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Ni, Z
dc.contributor.author	Zhang, JA
dc.contributor.author	Yang, K
dc.contributor.author	Gao, F
dc.contributor.author	An, J
dc.date.accessioned	2020-12-29T19:42:33Z
dc.date.available	2020-12-29T19:42:33Z
dc.date.issued	2020
dc.identifier.citation	IEEE Transactions on Communications, 2020, 68, (3), pp. 1897-1910
dc.identifier.issn	0090-6778
dc.identifier.issn	1558-0857
dc.identifier.uri	http://hdl.handle.net/10453/144996
dc.description.abstract	IEEE Angle of Arrival (AoA) estimation with localized hybrid arrays is challenging in millimeter-wave (mmWave) communication systems. Most existing solutions quantize AoAs into limited values with relatively low accuracy. This paper presents a multi-AoA estimation scheme which is capable of estimating multiple AoAs from multiple users with low complexity. Specifically, we design a path filter via combining the received signals for each subarray. Each path filter enables a certain range of AoAs to pass through while suppressing the rest. Then we can use low-complexity cross-correlation operations to obtain continuous AoA estimates. Association of paths to users is further achieved by a follow-up pseudo-random codes based correlation operation. The scheme is first presented for a narrowband system and then extended to wideband with frequency selectivity. We also introduce new metrics and derive the lower bound of mean square error for evaluating the accuracy of AoA estimates, as conventional metrics face difficulties in the presence of multiple closely located AoAs. Extensive simulation results are provided and validate the effectiveness of the proposed multi-AoA estimation scheme.
dc.language	English
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation	China Electronic Technology Corporation
dc.relation.ispartof	IEEE Transactions on Communications
dc.relation.isbasedon	10.1109/TCOMM.2019.2960688
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0804 Data Format, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.title	Estimation of Multiple Angle-of-Arrivals with Localized Hybrid Subarrays for Millimeter Wave Systems
dc.type	Journal Article
utslib.citation.volume	68
utslib.for	0804 Data Format
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/Strength - GBDTC - Global Big Data Technologies
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
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-12-29T19:42:10Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	68
utslib.citation.issue	3

Abstract:

IEEE Angle of Arrival (AoA) estimation with localized hybrid arrays is challenging in millimeter-wave (mmWave) communication systems. Most existing solutions quantize AoAs into limited values with relatively low accuracy. This paper presents a multi-AoA estimation scheme which is capable of estimating multiple AoAs from multiple users with low complexity. Specifically, we design a path filter via combining the received signals for each subarray. Each path filter enables a certain range of AoAs to pass through while suppressing the rest. Then we can use low-complexity cross-correlation operations to obtain continuous AoA estimates. Association of paths to users is further achieved by a follow-up pseudo-random codes based correlation operation. The scheme is first presented for a narrowband system and then extended to wideband with frequency selectivity. We also introduce new metrics and derive the lower bound of mean square error for evaluating the accuracy of AoA estimates, as conventional metrics face difficulties in the presence of multiple closely located AoAs. Extensive simulation results are provided and validate the effectiveness of the proposed multi-AoA estimation scheme.

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http://hdl.handle.net/10453/144996