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| 5.33 MB | Adobe PDF |
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Abstract(s)
This project provides a survey of indoor positioning systems and reports experimental work with Bluetooth Low Energy (BLE) Beacons.
A positioning algorithm based on the Received Signal Strength Index (RSSI) from Bluetooth Low Energy signals is proposed for indoor tracking of the position of a drone. Experimental tests for characterization of beacon signals are presented. The application of a Kalman filter to reduce the effect of fluctuations in beacons signals is described.
Description
Keywords
Bluetooth Low Energy Indoor Positioning Systems RSSI