High-Precision Indoor Localization in Multi-Level Buildings
Abstract
Accurate localization in multi-floor indoor environments is essential for applications such as large-scale inventory management, healthcare, and security systems. However, achieving high-precision tracking with passive Radio Frequency Identification (RFID) tags in these complex settings presents significant challenges, including managing vertical spatial data, reducing signal interference between floors, and maintaining computational efficiency. This paper presents a novel approach that leverages holographic algorithms to enhance the localization accuracy of passive RFID tags in multi-floor buildings. By deploying multiple RFID readers across floors and constructing 3D holographic representations from signal phase data, our approach effectively distinguishes vertical positions, allowing for precise floor-specific tracking. The proposed method achieves an average localization error of approximately 5 cm, even in multifloor environments, through optimized reader placement and computational overhead reduction. This advancement has broad applications in sectors requiring highly accurate object tracking across large, multi-level indoor spaces, positioning holographic localization as a promising solution for modern multi-floor localization needs.
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