TOA-based passive localization constructed over factor graphs: A unified framework

Yuan, W; Wu, N; Guo, Q; Huang, X; Li, Y; Hanzo, L

TOA-based passive localization constructed over factor graphs: A unified framework

Yuan, W Wu, N Guo, Q Huang, X

Li, Y Hanzo, L

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Communications, 2019, 67 (10), pp. 6952 - 6962
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Yuan, W	en_US
dc.contributor.author	Wu, N	en_US
dc.contributor.author	Guo, Q	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Li, Y	en_US
dc.contributor.author	Hanzo, L	en_US
dc.date.available	2021-08-12T19:00:59Z
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	IEEE Transactions on Communications, 2019, 67 (10), pp. 6952 - 6962	en_US
dc.identifier.issn	0090-6778	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137927
dc.description.abstract	© 2019 IEEE. Passive localization based on time of arrival (TOA) measurements is investigated, where the transmitted signal is reflected by a passive target and then received at several distributed receivers. After collecting all measurements at receivers, we can determine the target location. The aim of this paper is to provide a unified factor graph-based framework for passive localization in wireless sensor networks based on TOA measurements. Relying on the linearization of range measurements, we construct a Forney-style factor graph model and conceive the corresponding Gaussian message passing algorithm to obtain the target location. It is shown that the factor graph can be readily modified for handling challenging scenarios such as uncertain receiver positions and link failures. Moreover, a distributed localization method based on consensus-aided operation is proposed for a large-scale resource constrained network operating without a fusion center. Furthermore, we derive the Cramér-Rao bound (CRB) to evaluate the performance of the proposed algorithm. Our simulation results verify the efficiency of the proposed unified approach and of its distributed implementation.	en_US
dc.relation.ispartof	IEEE Transactions on Communications	en_US
dc.relation.isbasedon	10.1109/TCOMM.2019.2930517	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	TOA-based passive localization constructed over factor graphs: A unified framework	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	67	en_US
utslib.for	0804 Data Format	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	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	67	en_US

Abstract:

© 2019 IEEE. Passive localization based on time of arrival (TOA) measurements is investigated, where the transmitted signal is reflected by a passive target and then received at several distributed receivers. After collecting all measurements at receivers, we can determine the target location. The aim of this paper is to provide a unified factor graph-based framework for passive localization in wireless sensor networks based on TOA measurements. Relying on the linearization of range measurements, we construct a Forney-style factor graph model and conceive the corresponding Gaussian message passing algorithm to obtain the target location. It is shown that the factor graph can be readily modified for handling challenging scenarios such as uncertain receiver positions and link failures. Moreover, a distributed localization method based on consensus-aided operation is proposed for a large-scale resource constrained network operating without a fusion center. Furthermore, we derive the Cramér-Rao bound (CRB) to evaluate the performance of the proposed algorithm. Our simulation results verify the efficiency of the proposed unified approach and of its distributed implementation.

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http://hdl.handle.net/10453/137927