Multi-source fusion localization algorithm based on dynamic weighting
JI Fu-long;State Grid Siji Shenyuan Location Service (Beijing ) Co.,Ltd.;
The indoor positioning method for a single signal source is difficult to obtain stable and high-precision positioning results. A multi-source information fusion positioning method is proposed to obtain highly available positioning results. The method first dynamically weights WIFI fingerprint positioning, Bluetooth trilateration positioning and RFID neighbor positioning, and obtains an absolute position. Then, the wireless positioning position and the position calculated by the pedestrian track are combined by Kalman filter to obtain the final positioning result. Experiments show that this algorithm improves the positioning effect obviously, and the positioning accuracy reaches the sub-meter level.
【CateGory Index】： TP391.44;TN92