Title :
Particle filtering for indoor RFID tag tracking
Author :
Savic, Vladimir ; Athalye, A. ; Bolic, Miodrag ; Djuric, P.M.
Author_Institution :
Signal Process. Applic. Group, Univ. Politec. de Madrid, Madrid, Spain
Abstract :
In this paper, we propose a particle filtering (PF) method for indoor tracking using radio frequency identification (RFID) based on aggregated binary measurements. We use an Ultra High Frequency (UHF) RFID system that is composed of a standard RFID reader, a large set of standard passive tags whose locations are known, and a newly designed, special semi-passive tag attached to an object that is tracked. This semi-passive tag has the dual ability to sense the backscatter communication between the reader and other passive tags which are in its proximity and to communicate this sensed information to the reader using backscatter modulation. We refer to this tag as a sense-a-tag (ST). Thus, the ST can provide the reader with information that can be used to determine the kinematic parameters of the object on which the ST is attached. We demonstrate the performance of the method with data obtained in a laboratory environment.
Keywords :
UHF radio propagation; backscatter; indoor radio; particle filtering (numerical methods); radiofrequency identification; target tracking; PF method; UHF RFID system; aggregated binary measurements; backscatter communication; backscatter modulation; indoor RFID tag tracking; indoor tracking; kinematic parameters; object tracking; particle filtering method; radio frequency identification; semipassive tag; sense-a-tag; sensed information; standard RFID reader; standard passive tags; ultra high frequency RFID system; Backscatter; Kalman filters; Noise; Protocols; Radiofrequency identification; Target tracking; RFID; particle filtering; tags; tracking;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location :
Nice
Print_ISBN :
978-1-4577-0569-4
DOI :
10.1109/SSP.2011.5967656