Abstract: Since the traditional RFID positioning technology relies on the Internet and is especially constrained by the positioning distance in the process of positioning the tags with poor positioning accuracy, a novel positioning algorithm is proposed based on the ZigBee and improved VIRE algorithm. By using the proposed algorithm, ZigBee nodes are adopted to achieve the formation of network information transmission to replace the traditional wired communication. Gaussian-Kalman filter is used to deal with the sampling data of the limited preselected reference node signal strength. The algorithm adopts signal propagation loss model to calculate the RSSI values of virtual reference tags, so as to be more close to the values of real tags. The Dynamic threshold is employed to predict the positioned tags. Simulation results show that compared with the traditional RFID method, the proposed algorithm performs better in terms of positioning accuracy, which improves working efficiency of the indoor positioning method.

Key words: RFID, ZigBee, Gaussian-Kalman filter, adaptive threshold, improved VIRE algorithm