Phase-based Variant Maximum Likelihood Positioning for Passive UHF-RFID Tags
Abstract
Radio frequency identification (RFID) technology brings tremendous advancement in Internet-of-Things, especially in supply chain and smart inventory management. Phase-based passive ultra high frequency RFID tag localization has attracted great interest, due to its insensitivity to the propagation environment and tagged object properties compared with the signal strength based method. In this paper, a phase-based maximum-likelihood tag positioning estimation is proposed. To mitigate the phase uncertainty, the likelihood function is reconstructed through trigonometric transformation. Weights are constructed to reduce the impact of unexpected interference and to augment the positioning performance. The experiment results show that the proposed algorithms realize fine-grained tag localization, which achieve centimeter-level lateral accuracy, and less than 15-centimeters vertical accuracy along the altitude of the racks.
Keywords
Cite
@article{arxiv.2003.05029,
title = {Phase-based Variant Maximum Likelihood Positioning for Passive UHF-RFID Tags},
author = {Chenglong Li and Emmeric Tanghe and David Plets and Pieter Suanet and Nico Podevijn and Jeroen Hoebeke and Eli De Poorter and Luc Martens and Wout Joseph},
journal= {arXiv preprint arXiv:2003.05029},
year = {2021}
}
Comments
14th European Conference on Antennas and Propagation EuCAP 2020, Copenhagen, Denmark, 15-20 March 2020, accepted