Title :
Tracking with RFID asynchronous measurements by particle filtering
Author :
Li Geng ; Bugallo, Monica F. ; Djuric, P.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA
Abstract :
This paper deals with the problem of real-time indoor tracking of tagged objects in Ultra High Frequency Radio Frequency Identification systems with asynchronous measurements. A new and more realistic model of the system is proposed, where the probability of detecting a tag by a reader is described by a function of both the distance and the angle between the tag and the reader´s antenna. The model also accounts for the possibility of a tag being in a dead-zone where the tag cannot be detected. For tracking, we propose the use of the particle filtering methodology that takes into account the asynchronous nature of the measurements. The parameters for modeling the resulting system are obtained from real-world experiments and the performance of the algorithm is shown by extensive computer simulations.
Keywords :
antennas; object tracking; particle filtering (numerical methods); radiofrequency identification; RFID asynchronous measurements; particle filtering; reader antenna; real-time indoor tracking; realistic model; tag detection; tag reader; tagged objects; ultra high frequency radio frequency identification systems; Antenna measurements; Antennas; Atmospheric measurements; Frequency measurement; Particle measurements; Radiofrequency identification; Time measurement; Radio Frequency Identification (RFID); asynchronous measurements; particle filtering; real time tracking;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638420