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

fYear

2014

fDate

10-13 Jan. 2014

Firstpage

476

Lastpage

477

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ICCE), 2014 IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

2158-3994

Print_ISBN

978-1-4799-1290-2

Type

conf

DOI

10.1109/ICCE.2014.6776093

Filename

6776093