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Indoor Positioning Method based on BLE Location Fingerprint with Statistics Approach

This paper proposes a BLE used indoor positioning method, which combines the fingerprint method with particle filter, for improving the estimation accuracy. Particle filter can be implemented by creating a likelihood function. The proposed method makes fingerprint map based on RSSI from BLE beacon, and creates particle filter which estimates indoor position from observed RSSI. The experiment results show the effectiveness of the proposed method.