一种优化的RFID室内定位算法OACSTPCD

Radio frequency identification technology has been widely applied in fields such as logistics and inventory management,but there are still problems such as low positioning accuracy and poor stability in indoor positioning applications.In order to improve the ac-curacy and stability of positioning,the extended Kalman Filter algorithm,unscented Kalman Filter algorithm and UKF-RTS algorithm combining UKF and Rauch Tung Streebel(RTS)are used in the study.In order to optimize the accuracy of RFID positioning,the EKF,UKF and UKF-RTS algorithms are introduced.The maximum error of the UKF method is about 0.42 m.However,the maximum ac-curacy of UKF-RTS can be reduced to around 0.26 m.The UKF-RTS algorithm has the smallest error and improves positioning accu-racy by 48％compared to the EKF algorithm and 25％compared to the UKF algorithm.Especially when dealing with changes in motion status,UKF-RTS performs well and is expected to provide new research directions for the development of RFID indoor positioning technology.