Tensor-based High-Accuracy Position Estimation for 5G mmWave Massive MIMO Systems

Lin, Z; Lv, T; Zhang, JA; Liu, RP

Tensor-based High-Accuracy Position Estimation for 5G mmWave Massive MIMO Systems

Lin, Z

Lv, T Zhang, JA Liu, RP

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020, 2020-June, pp. 1-6
Issue Date:: 2020-07-27

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Field	Value	Language
dc.contributor.author	Lin, Z https://orcid.org/0000-0001-5941-2163
dc.contributor.author	Lv, T
dc.contributor.author	Zhang, JA
dc.contributor.author	Liu, RP
dc.date	2020-06-07
dc.date.accessioned	2021-02-21T10:04:33Z
dc.date.available	2021-02-21T10:04:33Z
dc.date.issued	2020-07-27
dc.identifier.citation	ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020, 2020-June, pp. 1-6
dc.identifier.isbn	978-1-7281-5090-1
dc.identifier.issn	1550-3607
dc.identifier.uri	http://hdl.handle.net/10453/146252
dc.description.abstract	Highly accurate localization is important for wire-less communications. In this paper, we propose a new tensor-based positioning method for 5G wideband mmWave massive MIMO systems. We first develop an extended multidimensional interpolation (E-MI)-based method as the preprocessing step to suppress the frequency-dependence of the array steering vectors. By using this method, the data across the whole frequency band can be processed jointly, and the high temporal resolution offered by wideband mmWave signals can be exploited. Then, we propose a parameter decoupling (PD)-based tensor multiparameter estimation algorithm. This algorithm can suppress the noises in all of temporal, spatial and frequency domains, and thus all the parameters can be precisely estimated. A simplified perturbation term (S-PT)-based method is also presented to match the estimated parameters at low complexity. Based on the quasi-optical property of mmWave signals, we propose a novel method to compute the 3D coordinates of the target. Simulation results demonstrate the effectiveness of the proposed positioning method in the end.
dc.language	en
dc.publisher	IEEE
dc.relation	CHINA ACADEMY OF TELECOMMUNICATION TECHNOLOGYCATT
dc.relation.ispartof	ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
dc.relation.ispartof	ICC 2020 - 2020 IEEE International Conference on Communications
dc.relation.isbasedon	10.1109/icc40277.2020.9149001
dc.rights	© 2020 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/embargoedAccess
dc.title	Tensor-based High-Accuracy Position Estimation for 5G mmWave Massive MIMO Systems
dc.type	Conference Proceeding
utslib.citation.volume	2020-June
utslib.location.activity	Dublin, Ireland
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	open_access	*
utslib.copyright.embargo	2022-07-27T00:00:00+1000Z
dc.date.updated	2021-02-21T10:04:23Z
pubs.finish-date	2020-06-11
pubs.publication-status	Published
pubs.start-date	2020-06-07
pubs.volume	2020-June

Abstract:

Highly accurate localization is important for wire-less communications. In this paper, we propose a new tensor-based positioning method for 5G wideband mmWave massive MIMO systems. We first develop an extended multidimensional interpolation (E-MI)-based method as the preprocessing step to suppress the frequency-dependence of the array steering vectors. By using this method, the data across the whole frequency band can be processed jointly, and the high temporal resolution offered by wideband mmWave signals can be exploited. Then, we propose a parameter decoupling (PD)-based tensor multiparameter estimation algorithm. This algorithm can suppress the noises in all of temporal, spatial and frequency domains, and thus all the parameters can be precisely estimated. A simplified perturbation term (S-PT)-based method is also presented to match the estimated parameters at low complexity. Based on the quasi-optical property of mmWave signals, we propose a novel method to compute the 3D coordinates of the target. Simulation results demonstrate the effectiveness of the proposed positioning method in the end.

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http://hdl.handle.net/10453/146252