Gaussian message passing based passive localization in the presence of receiver detection failures

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

Gaussian message passing based passive localization in the presence of receiver detection failures

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

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2018, 2018-June pp. 1 - 5
Issue Date:: 2018-07-20

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Field	Value	Language
dc.contributor.author	Yuan, W	en_US
dc.contributor.author	Shi, Q	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.date.available	2020-06-01T19:03:07Z
dc.date.issued	2018-07-20	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2018, 2018-June pp. 1 - 5	en_US
dc.identifier.isbn	9781538663554	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134201
dc.description.abstract	© 2018 IEEE. This paper considers the issue of passive localization based on time of arrival (TOA) measurement in the presence of receiver detection failures. In passive localization, the signal sent from the transmitter is reflected or relayed by «passive» target and then received at several distributed receivers. The target's position can be determined by collecting range mea- surements from all receivers. With a linearized model for range measurements, we build a factor graph model and implement Gaussian message passing algorithm to obtain target location and detect link failures. The Cramer-rao bound (CRB) is also derived to evaluate the performance of proposed algorithm. Simulation results verify the effectiveness of proposed factor graph approach.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VTCSpring.2018.8417730	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Gaussian message passing based passive localization in the presence of receiver detection failures	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-June	en_US
utslib.for	0805 Distributed Computing	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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018-June	en_US

Abstract:

© 2018 IEEE. This paper considers the issue of passive localization based on time of arrival (TOA) measurement in the presence of receiver detection failures. In passive localization, the signal sent from the transmitter is reflected or relayed by «passive» target and then received at several distributed receivers. The target's position can be determined by collecting range mea- surements from all receivers. With a linearized model for range measurements, we build a factor graph model and implement Gaussian message passing algorithm to obtain target location and detect link failures. The Cramer-rao bound (CRB) is also derived to evaluate the performance of proposed algorithm. Simulation results verify the effectiveness of proposed factor graph approach.

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http://hdl.handle.net/10453/134201