Model-based Analysis Of Unmodulated Visible Light Positioning Using The Extended Kalman Filter

Visible light positioning has the potential to be an indoor positioning system that is both low cost and accurate (95% confidence interval less than 10 cm). Such a system is not available today, and could enable widespread adoption. Current visible light positioning systems need extra hardware at the transmitter end in order to modulate the light intensity. This modulation is picked up by a receiver and used by the positioning algorithm. This work investigates the possibility of a visible light positioning based system that does not require a modulation of light intensity. This requires less complex hardware and enables very low cost positioning systems that are much easier to install. This is achieved by modelling the received signal strength inside a room, which is used as an input for an Extended Kalman filter. With an appropriate layout of light fixtures, this enables very accurate positioning.status: submitte