3D target location based on RFID polarization phase model

Abstract

The three-dimensional target position is vital to automatic driving, which can efficiently detect the geometrical shape of obstacles and achieve automatic environment recognition for both indoor and outdoor scenarios. In this paper, we propose an RFID 3D localization prototype based on the polarization phase model. To eliminate the impacts of tag angle, we leverage the polarization effect to obtain polarized phases. After that, we use polarized phase decomposition to get pure phases, i.e., the phase corresponding to the line of sight path. Hence, we can calculate the raw phases using the HMFCW algorithm. Finally, we can estimate the target’s 3D position according to unwrapped phase information. In this way, we implement a low-cost, high-precision, easy-for-deployment 3D position solution using commercial UHF RFID hardware. The experiments show that the method can obtain effective positioning results in various environments and achieve positioning accuracy with an average error of about 9 cm.

Multi-granularity and Multi-modal Feature Fusion for Indoor Positioning

“…Its complexity and data demands hinder real-time processing. Keil et al [25,26,27,28,29,30] proposed 3D positioning, which is cost-prohibitive and reliant on specialized hardware, thus limiting its applicability in public spaces for the general populace.…”