Title :
VLC-based indoor positioning system with tracking capability using Kalman and particle filters
Author :
Ganti, Divya ; Weizhi Zhang ; Kavehrad, M.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., State College, PA, USA
Abstract :
An indoor navigation system based on visible light communication (VLC) technology is proposed in this paper. Indoor positioning is realized by a received-signal-strength(RSS)-based method using modulated light-emitting-diodes (LEDs). In addition to the simple positioning, we use Kalman and particle filters to give the system tracking capability. Simulation results show that particle filtering converges to the true track faster than Kalman filtering, at the price of higher computational complexity.
Keywords :
Kalman filters; computational complexity; indoor communication; light emitting diodes; navigation; optical communication; optical tracking; particle filtering (numerical methods); Kalman filters; LED; RSS based method; VLC technology; VLC-based indoor positioning system; computational complexity; indoor navigation system; modulated light-emitting-diodes; particle filters; received-signal-strength; system tracking capability; visible light communication; Atmospheric measurements; Computational complexity; Kalman filters; Light emitting diodes; Particle filters; Particle measurements;
Conference_Titel :
Consumer Electronics (ICCE), 2014 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-1290-2
DOI :
10.1109/ICCE.2014.6776093
