Abstract:
Indoor localization of staff and patients based on radio frequency identification (RFID) technology has promising potential application in the healthcare sector. The use of an active RFID in real-time indoor positioning system without any sacrifice of localization accuracy is intended to provide security, guidance and support service to patients. In this paper maximum likelihood estimation along with its Cramer-Rao lower bound of the locations of active RFID tags are presented by exploring the received signal strength indicator which is collected at the readers. The performance of real-time localization system is implemented by using an extended Kalman filter (EKF).
Date of Conference: 2-5 July 2019
Date Added to IEEE Xplore: 27 February 2020
ISBN Information:
Electronic ISBN: 978-0-9964527-8-6
Print on Demand(PoD) ISBN:978-1-7281-1840-6
INSPEC Accession Number: 19411273
Publisher: IEEE
Conference Location: Ottawa, ON, Canada, Canada.
https://ieeexplore.ieee.org/abstract/document/9011191 this link will redirect you to a new window where the paper was published.
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