Multi-Target Localization with Monocular Resonant Beam

In the era of the Internet of everything (IoE) and the metaverse, there is a growing demand for high-accuracy indoor positioning for applications such as autonomous robots, virtual reality devices, and smartphones. This paper proposed a monocular resonant beam phase based localization (MRBPL) system optimized for high-precision indoor positioning in multi-access scenarios. By leveraging the self-alignment characteristic and integrating the analysis of resonant beam phase, angle of arrival (AoA) matching, and time-of-flight (ToF) method for 3D point coordinate acquisition, the MRBPL system achieves monocular passive multi target 3D positioning with an error of less than 4 cm at a distance of 8 m. We present a novel multi-access angle of arrival (AoA) estimation method and integrate it with the ToF method to enable multi-target localization from a single base station. Simulations demonstrate the system’s feasibility and high precision.