Parameter estimation and signal optimization for joint communication and radar sensing

Ni, Z; Andrew Zhang, J; Huang, X; Yang, K; Gao, F

Parameter estimation and signal optimization for joint communication and radar sensing

Ni, Z Andrew Zhang, J Huang, X

Yang, K Gao, F

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings, 2020
Issue Date:: 2020-06-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 21 Jul 2022

Adobe PDF

Download Submitted versionAdobe PDF (298.16 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Ni, Z
dc.contributor.author	Andrew Zhang, J
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732
dc.contributor.author	Yang, K
dc.contributor.author	Gao, F
dc.date	2020-06-07
dc.date.accessioned	2020-09-22T23:40:45Z
dc.date.available	2020-09-22T23:40:45Z
dc.date.issued	2020-06-01
dc.identifier.citation	2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings, 2020
dc.identifier.isbn	9781728174402
dc.identifier.uri	http://hdl.handle.net/10453/142825
dc.description.abstract	© 2020 IEEE. Joint communication and radar sensing (JCAS) integrates communication and radar sensing into one system, sharing one transmitted signal. In this paper, we study a JCAS system that uses a dedicated low-cost single-antenna receiver for sensing. We provide sensing parameter estimation algorithms for the JCAS system, and investigate the optimization of the precoding matrix to balance communication and sensing performance. A MUSIC-based estimation approach is proposed to obtain time delays and angle-of-arrivals of targets. A weighted signal optimization to balance between communication and sensing is then proposed. Numerical results are provided and verify the effectiveness of the proposed scheme.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
dc.relation.ispartof	2020 IEEE International Conference on Communications Workshops (ICC Workshops)
dc.relation.hasversion	Submitted version	en
dc.relation.isbasedon	10.1109/ICCWorkshops49005.2020.9145109
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	Parameter estimation and signal optimization for joint communication and radar sensing
dc.type	Conference Proceeding
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	2022-07-21T00:00:00+1000Z
dc.date.updated	2020-09-22T23:40:37Z
pubs.finish-date	2020-06-11
pubs.publication-status	Published
pubs.start-date	2020-06-07

Abstract:

© 2020 IEEE. Joint communication and radar sensing (JCAS) integrates communication and radar sensing into one system, sharing one transmitted signal. In this paper, we study a JCAS system that uses a dedicated low-cost single-antenna receiver for sensing. We provide sensing parameter estimation algorithms for the JCAS system, and investigate the optimization of the precoding matrix to balance communication and sensing performance. A MUSIC-based estimation approach is proposed to obtain time delays and angle-of-arrivals of targets. A weighted signal optimization to balance between communication and sensing is then proposed. Numerical results are provided and verify the effectiveness of the proposed scheme.

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

http://hdl.handle.net/10453/142825