Optical Intelligent Reflecting Surface-Aided Visible Light Positioning Based on RSS Fingerprint

In this paper, an optical intelligent reflecting surface (OIRS)-aided visible light positioning (VLP) system that adopt received signal strength (RSS) fingerprint method is proposed to enhance the positioning accuracy. We employ OIRS to improve the minimal RSS difference between neighboring positions in conventional RSS fingerprint-based VLP systems, involving a two-stage positioning scheme where the OIRS is strategically aligned to refine the positioning accuracy. Subsequently, the considered problem is formulated to maximize the minimum Euclidean distance by optimizing the OIRS configuration, which is then solved by an successive convex approximation (SCA)-based algorithm. Moreover, simulation results demonstrate that the proposed OIRS-assisted VLP system substantially outperforms conventional benchmarks, thereby achieving superior positioning accuracy.