TY - GEN
T1 - Interval Kalman filter based RFID indoor positioning
AU - Li, Ning
AU - Ma, Hongbin
AU - Yang, Chenguang
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/3
Y1 - 2016/8/3
N2 - Radio Frequency Identification (RFID) technology has shown its potential in the field of indoor positioning in recent years, and has been widely used in large establishments such as the airport lobby, supermarkets, libraries, underground parking and so on. However, the complexity of the indoor environments make positioning a challenging problem in terms of accuracy, stability, reliability, and interference immunity. In this paper, we develop an algorithm of passive RFID indoor positioning based on interval Kalman filter, according to the geometric constraints of responding tags, combined with the target motion information. The interval Kalman filter is adopted to integrate target position of one preceding time point and reference tags position to estimate the current position. Advantage of this algorithm is to use passive tags to reduce hardware costs, and on the other hand the introduction of filtering algorithm improves the positioning accuracy.
AB - Radio Frequency Identification (RFID) technology has shown its potential in the field of indoor positioning in recent years, and has been widely used in large establishments such as the airport lobby, supermarkets, libraries, underground parking and so on. However, the complexity of the indoor environments make positioning a challenging problem in terms of accuracy, stability, reliability, and interference immunity. In this paper, we develop an algorithm of passive RFID indoor positioning based on interval Kalman filter, according to the geometric constraints of responding tags, combined with the target motion information. The interval Kalman filter is adopted to integrate target position of one preceding time point and reference tags position to estimate the current position. Advantage of this algorithm is to use passive tags to reduce hardware costs, and on the other hand the introduction of filtering algorithm improves the positioning accuracy.
KW - Indoor positioning
KW - Interval Kalman Filter
KW - Interval arithmetic
KW - RFID
UR - https://www.scopus.com/pages/publications/84983802095
U2 - 10.1109/CCDC.2016.7532252
DO - 10.1109/CCDC.2016.7532252
M3 - Conference contribution
AN - SCOPUS:84983802095
T3 - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
SP - 6958
EP - 6963
BT - Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th Chinese Control and Decision Conference, CCDC 2016
Y2 - 28 May 2016 through 30 May 2016
ER -