Indoor 3D Adaptive Visible Light Positioning Framework with Resistance to Shadows and Reflections

Visible light positioning (VLP) systems provide higher accuracy and lower cost, more suitable for indoor positioning compared to their radio-frequency (RF) counterparts. And the VLP system based on received signal strength (RSS) is widely used due to the lowest hardware cost. However, existing RSS-VLP systems are usually sensitive to reflections and shadows. In this paper, we propose a VLP framework with an adaptive algorithm module, a diversity module, and a combination module. Simulations show that in the presence of reflections and shadows, this positioning framework can achieve an average error below 15 cm in a 5 m x 5 m area. Moreover, in case of severe blocking, its positioning error is even an order of magnitude lower than that of the typical RSS-VLP method.