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Localization of mobile transmitters by means of linear state estimation using RSS measurements

Pathirana, Pubudu N., Bishop, Adrian N. and Savkin, Andrey V. 2008, Localization of mobile transmitters by means of linear state estimation using RSS measurements, in ICARCV 2008 : 10th International Conference on Control, Automation, Robotics & Vision, IEEE, Piscataway, N.J., pp. 210-213.

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Title Localization of mobile transmitters by means of linear state estimation using RSS measurements
Author(s) Pathirana, Pubudu N.
Bishop, Adrian N.
Savkin, Andrey V.
Conference name IEEE International Conference on Control, Automation, Robotics & Vision (10th : 2008 : Hanoi, Vietnam)
Conference location Hanoi, Vietnam
Conference dates 17-20 December 2008
Title of proceedings ICARCV 2008 : 10th International Conference on Control, Automation, Robotics & Vision
Editor(s) [Unknown]
Publication date 2008
Conference series International Conference on Control, Automation, Robotics and Vision
Start page 210
End page 213
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) linear filtering
kalman filter
recieved signal strength (RSS)
RSS-based localization
target tracking
Summary This paper investigates the problem of estimating the location and velocity of a mobile agent using the received signal strength (RSS) measurements. Typical power measurements are inherently nonlinear and in this approach we derive a linear measurement scheme using an analytical measurement conversion technique which can readily be used with RSS measuring sensors. Power measurements are hence used in our robust version of a linear Kalman filter to estimate the dynamic parameters of the moving transmitter.
ISBN 9781424422876
Language eng
Field of Research 080503 Networking and Communications
Socio Economic Objective 861799 Communication Equipment not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018232

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