Localization algorithm design and performance analysis in probabilistic LOS/NLOS environment

Shi, X; Mao, G; Yang, Z; Chen, J

Localization algorithm design and performance analysis in probabilistic LOS/NLOS environment

Shi, X Mao, G

Yang, Z Chen, J

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Publication Type:: Conference Proceeding
Citation:: 2016 IEEE International Conference on Communications, ICC 2016, 2016
Issue Date:: 2016-07-12

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Field	Value	Language
dc.contributor.author	Shi, X	en_US
dc.contributor.author	Mao, G https://orcid.org/0000-0002-3598-4949	en_US
dc.contributor.author	Yang, Z	en_US
dc.contributor.author	Chen, J	en_US
dc.date.issued	2016-07-12	en_US
dc.identifier.citation	2016 IEEE International Conference on Communications, ICC 2016, 2016	en_US
dc.identifier.isbn	9781479966646	en_US
dc.identifier.uri	http://hdl.handle.net/10453/103384
dc.description.abstract	© 2016 IEEE. Non-line-of-sight (NLOS) propagation, which widely exists in wireless systems, will degrade the performance of wireless positioning system if it is not taken into consideration in the localization algorithm design. The 3rd Generation Partnership Project (3GPP) suggests that the probabilities of line-of-sight (LOS) and NLOS are related to the distance between the receiver and the transmitter. In this paper, we propose a Maximum Likelihood Estimator (MLE) for localization, which incorporates the distance dependent LOS/NLOS probabilities. Then, the position error bound is derived using Cramer-Rao Lower Bound (CRLB). Through numerical analysis, the impact of NLOS propagation on the position error bound is evaluated. The performance of our proposed algorithm is verified by real world experimental data.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP120102030
dc.relation	http://purl.org/au-research/grants/arc/DP110100538
dc.relation.ispartof	2016 IEEE International Conference on Communications, ICC 2016	en_US
dc.relation.isbasedon	10.1109/ICC.2016.7510963	en_US
dc.title	Localization algorithm design and performance analysis in probabilistic LOS/NLOS environment	en_US
dc.type	Conference Proceeding
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 - CRIN - Realtime Information Networks
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. Non-line-of-sight (NLOS) propagation, which widely exists in wireless systems, will degrade the performance of wireless positioning system if it is not taken into consideration in the localization algorithm design. The 3rd Generation Partnership Project (3GPP) suggests that the probabilities of line-of-sight (LOS) and NLOS are related to the distance between the receiver and the transmitter. In this paper, we propose a Maximum Likelihood Estimator (MLE) for localization, which incorporates the distance dependent LOS/NLOS probabilities. Then, the position error bound is derived using Cramer-Rao Lower Bound (CRLB). Through numerical analysis, the impact of NLOS propagation on the position error bound is evaluated. The performance of our proposed algorithm is verified by real world experimental data.

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http://hdl.handle.net/10453/103384