Journal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume 69, Issue 11, Pages 9190-9202Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2020.2995281
Keywords
Kalman filters; Floors; Passive RFID tags; Robustness; Robot sensing systems; Indoor positioning; Kalman filter (KF); location and orientation measurement passive RFID
Ask authors/readers for more resources
In this article, we present a scalable, robust, and accurate indoor positioning system that uses a passive high-frequency radio frequency identification (HF RFID)-based positioning measurement system combined with Tukey smoother and a linear Kalman filter to locate mobile objects with an average measurement error of less than 3.7 cm. The proposed system is implemented and tested with extensive experiments, and our results show that the proposed system outperforms similar existing systems in minimizing the average positioning error and has better robustness against noisy sensor readings caused by hardware malfunctions or external error sources.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available