The invention discloses an indoor positioning method based on
wireless signal data fusion. Through adopting a mode of fusing WIFI (
wireless fidelity) signals and RFID (
radio frequency identification) signals, a
Kalman filter is combined for carrying out
noise optimization
processing on received signals, in addition, the obtained optimized RSSI (received
signal strength indicator) value is subjected to three-edge measurement calculation, so that a positioning coordinate of the moving node is obtained. The indoor positioning method has the advantages that the
noise reducing
processing of the
Kalman filter is used, the interference of the indoor
noise on
wireless signals can be effectively reduced, and the indoor positioning precision is improved. The indoor positioning precision is further improved through the fusion positioning of the WIFI technology and the RFID technology, and in addition, the robustness of the positioning method is greatly improved through the organic cooperation
complementation of the two positioning technologies. Through the fusion positioning of the WIFI signals and the RFID signals, the
balance point of the indoor positioning precision and the equipment cost expenditure is obtained, in addition, the concrete coordinate of an object to be positioned is obtained, and meanwhile, the description information about ambient environment of the object to be positioned can also be known.