DocumentCode
653461
Title
Fusion Estimation Based on UKF for Indoor RFID Tracking
Author
Xue-bo Jin
Author_Institution
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear
2013
fDate
20-23 Aug. 2013
Firstpage
1928
Lastpage
1931
Abstract
Radio frequency identification (RFID) can effectively get the accurate location information for indoor tracking system. As to RFID sensor measurements with the multi-source and irregular sampling characteristics in the indoor tracking system, this paper gives the data-driven fusion estimation method based on Unscented Kalman filter (UKF). The experiments show that the fusion UKF can overcome RFID nonlinear better than EKF for indoor tracking application with RFID.
Keywords
Kalman filters; indoor radio; radiofrequency identification; RFID sensor measurements; UKF; data-driven fusion estimation; indoor RFID tracking; indoor tracking system; location information; radio frequency identification; unscented Kalman filter; Acceleration; Estimation; Loss measurement; Noise; Radiofrequency identification; Target tracking; Trajectory; RFID; UKF; fusion estimation; indoor tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location
Beijing
Type
conf
DOI
10.1109/GreenCom-iThings-CPSCom.2013.358
Filename
6682369
Link To Document