Variable Number of Multi-Sensor Fusion for Indoor RFID Tracking System
2013 ◽
Vol 385-386
◽
pp. 654-657
Keyword(s):
We present a new method to accurately tracking persons indoors by active RFID technology. To deal with nonlinear measurement model, the EKF(extended Kalman filter) is used to estimate the target trajectory. This paper developed the fusion estimation algorithm for the common indoor tracking problem with the reader at any location and fusion estimation with variable number of multi-sensor system. Simulations show the algorithm developed here can adaptively adjust the model parameter while tracking and obtain good estimation performance for indoor RFID tracking.
2013 ◽
Vol 427-429
◽
pp. 582-585
2002 ◽
Vol 29
(2)
◽
pp. 161-182
◽
2017 ◽
Vol 153
(4)
◽
pp. 213-222
◽
2013 ◽
Vol 8
(10)
◽
pp. 837-845
2014 ◽
Vol 6
(4)
◽
pp. 10-34
◽
Keyword(s):
2019 ◽
Vol 14
(5)
◽
pp. 612-619
◽