Inomhuspositionering med BluetoothLow Energy

This report examines the precision in distance and position that is possible to achievewith Bluetooth Low Energy and if it can be improved with the help of differentmethods. Signals are sent and received with the help of a small transmitter and asmartphone. The signals that are sent areradio waves. From these radio waves it is possible to extract the signal strength thatoccurs between a sender and a receiver. This report describes technologies that areused today in indoor positioning like Time of Arrival, Angle of Arrival, TimeDifference of Arrival, Received Signal StrengthIndication and the most common algorithms.The implementation examined whether the signal strength between the transmitterand the receiver could indicate distance. Later a greater test were made to see if thecombination of many transmitters could indicate the position of the receiver. In anattempt to enhance the precisionalgorithms like K- nearest neighbour, Trilateration and Kalman Filter were used.Trilateration gave a standard deviation up to 9 meters. Kalman Filter lowered thestandard deviation but did not enhance the positioning. K- nearest neighbour gave aresult of one to two meters in standard deviatio