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Sensor fusion based localization of a mobile user in a wireless network
conference contribution
posted on 2005-01-01, 00:00 authored by Adrian Bishop, Pubudu PathiranaPubudu PathiranaThis 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.
History
Title of proceedings
Tencon 2005 - 2005 IEEE region 10 conference : Melbourne, Australia, 21-24 November 2005Event
TENCON (2005 : Melbourne, Australia)Pagination
1 - 7Publisher
IEEELocation
Melbourne, AustraliaPlace of publication
Piscataway, N.J.Start date
2005-11-21End date
2005-11-24ISBN-13
9780780393110ISBN-10
0780393112Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2005, IEEEUsage metrics
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No categories selectedKeywords
direction of arrivallocalizationmobility modelingrobust extended kalman filtertarget trackingScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Software EngineeringComputer Science, Theory & MethodsEngineering, Electrical & ElectronicImaging Science & Photographic TechnologyTelecommunicationsComputer ScienceEngineeringLOCATION TRACKINGALGORITHM
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