NLOS identification and mitigation for mobile tracking

Yu, K; Dutkiewicz, E

NLOS identification and mitigation for mobile tracking

Yu, K Dutkiewicz, E

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Aerospace and Electronic Systems, 2013, 49 (3), pp. 1438 - 1452
Issue Date:: 2013-07-29

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Field	Value	Language
dc.contributor.author	Yu, K	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.date.issued	2013-07-29	en_US
dc.identifier.citation	IEEE Transactions on Aerospace and Electronic Systems, 2013, 49 (3), pp. 1438 - 1452	en_US
dc.identifier.issn	0018-9251	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116872
dc.description.abstract	A non-line-of-sight (NLOS) mitigation approach is presented for network-based mobile tracking. A distance smoothing method is proposed, which uses online line-of-sight (LOS) and NLOS identification. A technique is proposed to integrate distance, mobile velocity, and heading estimates for position determination through Kalman filtering. Hypothesis testing analysis is performed to provide a guideline for selecting the threshold values. Simulation results demonstrate that the proposed approach significantly improves position accuracy as compared with the existing algorithms. © 1965-2011 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Aerospace and Electronic Systems	en_US
dc.relation.isbasedon	10.1109/TAES.2013.6557997	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Aerospace & Aeronautics	en_US
dc.title	NLOS identification and mitigation for mobile tracking	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	49	en_US
utslib.for	0901 Aerospace Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0909 Geomatic Engineering	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	closed_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	49	en_US

Abstract:

A non-line-of-sight (NLOS) mitigation approach is presented for network-based mobile tracking. A distance smoothing method is proposed, which uses online line-of-sight (LOS) and NLOS identification. A technique is proposed to integrate distance, mobile velocity, and heading estimates for position determination through Kalman filtering. Hypothesis testing analysis is performed to provide a guideline for selecting the threshold values. Simulation results demonstrate that the proposed approach significantly improves position accuracy as compared with the existing algorithms. © 1965-2011 IEEE.

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http://hdl.handle.net/10453/116872