Title :
Real-time RFID localization using RSS
Author :
Chawla, Kirti ; McFarland, Christopher ; Robins, Garry ; Shope, Connor
Author_Institution :
Dept. of Comput. Sci., Univ. of Virginia, Charlottesville, VA, USA
Abstract :
New computing paradigms have underscored the need to locate objects in an environment, motivating several object localization approaches targeting competing technologies and specific applications. While RFID technology recently emerged as a viable platform for locating objects, several unresolved key challenges precluded higher performance and wider applicability. We present an RFID-based real-time location system that uses Received Signal Strength (RSS) to better model the distance-decaying behavior of radio signals in an orientation-agnostic manner.We experimentally leverage the proposed robust models to simultaneously locate several stationary and mobile objects tagged with passive tags in a realistically noisy indoor environment, with an average accuracy of 0.6 meters. A more general conclusion of this work is that contrary to common belief, RSS can indeed serve as reliable metric for a variety of select applications, including localization.
Keywords :
indoor communication; mobile radio; radiofrequency identification; 3D space; RFID-based real-time location system; RSS decay models; automatic calibration procedure; distance-decaying behavior; mobile objects; noisy indoor environment; passive tags; radio signals; received signal strength; Accuracy; Antenna measurements; Antenna radiation patterns; Mobile communication; Power generation; Radiofrequency identification; Real-time systems;
Conference_Titel :
Localization and GNSS (ICL-GNSS), 2013 International Conference on
Conference_Location :
Turin
Print_ISBN :
978-1-4799-0484-6
DOI :
10.1109/ICL-GNSS.2013.6577259