Sensor fusion based localization of a mobile user in a wireless network

Bishop, Adrian and Pathirana, Pubudu 2005, Sensor fusion based localization of a mobile user in a wireless network, in Tencon 2005 - 2005 IEEE region 10 conference : Melbourne, Australia, 21-24 November 2005, IEEE, Piscataway, N.J., pp. 1-7.

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Title Sensor fusion based localization of a mobile user in a wireless network
Author(s) Bishop, Adrian
Pathirana, Pubudu
Conference name TENCON (2005 : Melbourne, Australia)
Conference location Melbourne, Australia
Conference dates 21-24 November 2005
Title of proceedings Tencon 2005 - 2005 IEEE region 10 conference : Melbourne, Australia, 21-24 November 2005
Editor(s) [Unknown]
Publication date 2005
Conference series IEEE Region 10 Conference
Start page 1
End page 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) direction of arrival
localization
mobility modeling
robust extended kalman filter
target tracking
Summary This paper applies sensor fusion to the localization problem of a mobile user. We propose that the use of direction of arrival (DOA) estimations along with received signal strength measurements can increase the accuracy and robustness of location estimations. The DOA estimations are incapable of providing multi-dimensional positioning alone, while signal strength methods are prone to high uncertainties. A Robust Extended Kalman Filter (REKF) is used to derive the state estimate of the mobile user's position, and successfully track the mobile users with less system complexity, as it requires measurements from only one base station. Therefore, localization of mobile users can be performed at the single base station. Furthermore, the technique is robust against system uncertainties caused by the inherent deterministic nature of the mobility model. Through simulation, we show the accuracy of our prediction algorithm and the simplicity of its implementation.
ISBN 9780780393110
0780393112
Language eng
Field of Research 100599 Communications Technologies not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2005, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005680

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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