Analysis of linear least square solution for RSS based localization

Salman, N; Guo, YJ; Kemp, AH; Ghogho, M

Analysis of linear least square solution for RSS based localization

Salman, N Guo, YJ Kemp, AH Ghogho, M

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Publisher:: IEEE Xplore
Publication Type:: Conference Proceeding
Citation:: 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, 2012, pp. 1051 - 1054
Issue Date:: 2012-12-01

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Field	Value	Language
dc.contributor.author	Salman, N	en_US
dc.contributor.author	Guo, YJ	en_US
dc.contributor.author	Kemp, AH	en_US
dc.contributor.author	Ghogho, M	en_US
dc.date	2012-10-02	en_US
dc.date.issued	2012-12-01	en_US
dc.identifier.citation	2012 International Symposium on Communications and Information Technologies, ISCIT 2012, 2012, pp. 1051 - 1054	en_US
dc.identifier.isbn	9781467311571	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119538
dc.description.abstract	Positioning of wireless devices has received a great deal of interest from researchers in the last decade. In order to locate nodes in low complexity and power efficient networks, the received signal strength (RSS) based positioning systems have been the center of focus. RSS based localization needs no additional hardware and hence is favored for low complexity and cheap localization networks. A major source of error in RSS location estimation is due to shadowing effects in multipath wireless channels. In this paper we analyze the performance of RSS location estimator based on the linear least square approach. We derive expressions for mean square error (MSE) and bias of location estimates. The theoretical analysis is compared with simulation results and it is observed that the analysis accurately predicts the performance of the location estimation. We also discuss the impact of reference node placement on estimation bias. © 2012 IEEE.	en_US
dc.publisher	IEEE Xplore	en_US
dc.relation.ispartof	2012 International Symposium on Communications and Information Technologies, ISCIT 2012	en_US
dc.relation.ispartof	International Symposium on Communications and Information Technologies	en_US
dc.relation.isbasedon	10.1109/ISCIT.2012.6380846	en_US
dc.rights	© 2012 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.title	Analysis of linear least square solution for RSS based localization	en_US
dc.type	Conference Proceeding
utslib.location.activity	Gold Coast, QLD, Australia	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/e-Press
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 Computing and Communications
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.declined	2017-11-01T09:18:30.83+1100
pubs.consider-herdc	false	en_US
pubs.deleted	2017-11-01T09:18:30.83+1100
pubs.finish-date	2012-10-05	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2012-10-02	en_US

Abstract:

Positioning of wireless devices has received a great deal of interest from researchers in the last decade. In order to locate nodes in low complexity and power efficient networks, the received signal strength (RSS) based positioning systems have been the center of focus. RSS based localization needs no additional hardware and hence is favored for low complexity and cheap localization networks. A major source of error in RSS location estimation is due to shadowing effects in multipath wireless channels. In this paper we analyze the performance of RSS location estimator based on the linear least square approach. We derive expressions for mean square error (MSE) and bias of location estimates. The theoretical analysis is compared with simulation results and it is observed that the analysis accurately predicts the performance of the location estimation. We also discuss the impact of reference node placement on estimation bias. © 2012 IEEE.

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http://hdl.handle.net/10453/119538