Bluetooth and WAP push based location-aware mobile advertising system
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Computers and Electronics in Agriculture
Extended Kalman Filter for wireless LAN based indoor positioning
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A hybrid positioning system for technology-independent location-aware computing
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Improvement of Kalman filters for WLAN based indoor tracking
Expert Systems with Applications: An International Journal
FM radio for indoor localization with spontaneous recalibration
Pervasive and Mobile Computing
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Collaborative cellular-based location system
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Kalman filter vs. particle filter in improving K-NN indoor positioning
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Supporting location-aware distributed applications on mobile devices
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LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
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Pedestrian Navigation Based on Inertial Sensors, Indoor Map, and WLAN Signals
Journal of Signal Processing Systems
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This paper presents a design and an implementation ofthe Bluetooth local positioning application. Positioning isbased on received power levels, which are converted todistance estimates according to a simple propagationmodel. The extended Kalman filter computes 3D positionestimate on the basis of distance estimates. With the usedBluetooth hardware, the mean absolute error ofpositioning was measured o be 3.76 m. The accuracy canbe improved if Bluetooth devices are able to measurereceived power levels more precisely.