Active RFID Based Indoor Localization

Document Type

Conference Proceeding

Publication Date


Publication Title

FUSION 2019 - 22nd International Conference on Information Fusion


active RFID, Cramer-Rao lower bound, extended Kalman filter, grid search, maximum likelihood estimation, RFID localization


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).



This document is currently not available here.