Poster: Statistical learning strategies for RF-based indoor device-free passive localization

Authors:
Chenren Xu;Bernhard Firner;Yanyong Zhang;Richard Howard;Jun Li
Affiliations:
WINLAB, Rutgers University, North Brunswick, NJ;WINLAB, Rutgers University, North Brunswick, NJ;WINLAB, Rutgers University, North Brunswick, NJ;WINLAB, Rutgers University, North Brunswick, NJ;WINLAB, Rutgers University, North Brunswick, NJ
Venue:
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Year:
2011

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Abstract

In this paper, we present the design, implementation and evaluation of a RF-based device-free passive localization strategy using active RFID nodes. Patterns of the measured power on multiple radio links are used to determine the location of a person in a room in a home environment. We develop an adaptive algorithm and training technique to minimize multi-path effects. With experimental deployment in a 5 x 8 meters room, we demonstrate that our system can successfully localize an individual to a 30-inch grid square with an 97.2% accuracy and 0.36 meters average error distance.