Data Fusion of the Real Time Positioning System Based on RSSI and TOF

In this paper, the data fusion algorithm for position estimation of the wireless sensor networks is investigated. A hybrid position scheme with both radio Based ranging measurement and time-Based ranging measurement is proposed. The position estimation performances of RSSI and TOF are compared and analyzed. A novel data fusion algorithm along with traditional Kalman filter is advanced to improve the positioning and tracking accuracy. Several simulation experiments are carried out, which show the validity of the presented algorithm.