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.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/rfid-ta64374.2024.10965175
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
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article

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

Martina T. Bevacqua, Luca Catarinucci, Massimo Merenda, Giuseppe De Martino
1 links
Indoor and Outdoor Localization Technologies
article

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

Martina T. Bevacqua, Luca Catarinucci, Massimo Merenda, Giuseppe De Martino
article en

Abstract

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.

University of Salento (IT), Innovation Engineering (Italy) (IT), University of Reggio Calabria (IT)
Openalex Percentile: Top 73%
Indoor and Outdoor Localization Technologies
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