RFID-based Indoor Positioning by Using Monte Carlo Algorithm

Abstract

An indoor positioning scheme for a moving vehicle equipped with UHF radio-frequency identification (RFID) system is proposed by using Monte Carlo-based algorithm. By evaluating and updating the random sampling positions marked by passive RFID tags on ground, Monte Carlo algorithm can be implemented successfully for positioning. Performance of the positioning algorithm has been demonstrated by both numerical and experimental results.