Towards Multi-Frequency and Multi-View Localization via UHF-RFID Passive Tags

RFID-based localization refers to determining the position of an object equipped with an RFID tag by analyzing the signals backscattered by the tag and collected by the readers. In this paper, we present an exploration of multi-frequency and multi-view localization using UHF-RFID passive tags. We propose two approaches based on, respectively, Particle Filter (PF) and Beamforming (BF) imaging methods to enhance the accuracy and precision of RFID-based localization systems. Moreover, a controlled dataset is created by collecting backscattered signals from a passive RFID tag at multiple positions and angles using a two-antenna setup at two different frequencies. The collected dataset is analysed using PF and BF techniques to estimate the tag’s location. Preliminary experimental results demonstrate that both methods offer valuable insights into the localization process. These findings lay the groundwork for future development of more sophisticated multi-view localization systems.