3D wideband mmwave localization for 5G massive MIMO systems

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

3D wideband mmwave localization for 5G massive MIMO systems

Lin, Z

Lv, T Zhang, JA Liu, RP

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings, 2020, 00, pp. 1-6
Issue Date:: 2020

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted Manuscript VersionAdobe PDF (324.64 kB)

View on publisher's site

View statistics

Full metadata record

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	2019-12-09
dc.date.accessioned	2021-02-21T10:05:20Z
dc.date.available	2021-02-21T10:05:20Z
dc.date.issued	2020
dc.identifier.citation	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings, 2020, 00, pp. 1-6
dc.identifier.isbn	9781728109626
dc.identifier.uri	http://hdl.handle.net/10453/146254
dc.description.abstract	© 2019 IEEE. This paper proposes a novel 3D localization method for wideband mmWave massive MIMO systems. A high dimensional linear interpolation (HDLI)-based preprocessing is first proposed to transform the frequency-associated dynamical array response vectors into the common counterparts at the reference frequency. Through this method, the received data in all frequency bands can be processed jointly, and thus the high temporal resolution provided by wideband mmWave systems can be fully exploited for position estimation. To reduce the computational complexity in the process of the parameter estimation, we then present a wideband beamspace (WBS)-based parameter estimation algorithm to estimate the angle and delay in the low-dimensional beamspace. By exploiting the quasi- optical propagation at the mmWave frequencies, a novel positioning scheme is also designed to determine the 3D location of the target. According to our analysis and simulation results, the proposed method is capable of achieving significantly reduced computational complexity, while maintaining high localization accuracy.
dc.language	en
dc.publisher	IEEE
dc.relation	CHINA ACADEMY OF TELECOMMUNICATION TECHNOLOGYCATT
dc.relation.ispartof	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
dc.relation.ispartof	IEEE Global Communications Conference
dc.relation.isbasedon	10.1109/GLOBECOM38437.2019.9013639
dc.rights	info:eu-repo/semantics/openAccess
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.title	3D wideband mmwave localization for 5G massive MIMO systems
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Waikoloa, HI, USA
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	*
pubs.consider-herdc	false
dc.date.updated	2021-02-21T10:05:09Z
pubs.finish-date	2019-12-13
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2019-12-09
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

© 2019 IEEE. This paper proposes a novel 3D localization method for wideband mmWave massive MIMO systems. A high dimensional linear interpolation (HDLI)-based preprocessing is first proposed to transform the frequency-associated dynamical array response vectors into the common counterparts at the reference frequency. Through this method, the received data in all frequency bands can be processed jointly, and thus the high temporal resolution provided by wideband mmWave systems can be fully exploited for position estimation. To reduce the computational complexity in the process of the parameter estimation, we then present a wideband beamspace (WBS)-based parameter estimation algorithm to estimate the angle and delay in the low-dimensional beamspace. By exploiting the quasi- optical propagation at the mmWave frequencies, a novel positioning scheme is also designed to determine the 3D location of the target. According to our analysis and simulation results, the proposed method is capable of achieving significantly reduced computational complexity, while maintaining high localization accuracy.

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

http://hdl.handle.net/10453/146254