Indoor Positioning Using Visible Light Communications
Vatansever, Zafer, Electrical Engineering - School of Engineering and Applied Science, University of Virginia
Brandt-Pearce, Maite, Department of Electrical and Computer Engineering, University of Virginia
The effort to provide accurate location based services has increased with the use of mobile devices. But there is no standard method for indoor localization and navigation services. Previous solutions in the literature are hard to implement in real life situations because they need modifications on the receiver. In this study, a visible light based indoor positioning–tracking method suitable for non–diffusing and diffusing lamp models is proposed. The received power from the light emitting diodes (LEDs) is used as sensor input, and then an extended Kalman filter is used for state estimation. We propose a method based on a map of power intensities in the room that is robust to low SNR, nonuniform power distributions, and intermittent measurements, and it does not require any modifications on the receiver side or on existing lighting structures. The results show that tracking errors around the resolution of the power map can be achieved using a non–diffusing lamp model.
MS (Master of Science)
Visible light communications, Indoor tracking, Kalman filtering, localization
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