Hyperbolic Positioning and Tracking of Moving UHF-RFID Tags by Exploiting Neural Networks

Megalou, Spyros; Chatzistefanou, Aristidis Raptopoulos; Tzitzis, Anastasios; Μάλαμα, Ανδρεάνα; Yioultsis, Traianos V.; Dimitriou, Antonis G.

doi:10.23919/eucap53622.2022.9769242

Cited by 4 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Phase-based relative 2D localization was also performed using multiple antennas for landslide monitoring [22]. [47] uses a trained neural network to perform multi-antenna phase difference hyperbolic positioning, without any given initial position, reaching an accuracy of 0.5 m. [21] performs hyperbolic localization based on multi-antenna measurements, in an indoors Synthetic Aperture Radar approach and with an accuracy close to the centimeter scale. [15] uses a multiantenna Synthetic Aperture approach with a Particle Swarm Optimization algorithm [48], reaching a 3D localization accuracy below 0.2 m.…”

Section: Combining Data Across Space : Multiple Tags (Mt) and Reader ...mentioning

confidence: 99%

RFID Landslide Monitoring: Long-Term Outdoor Signal Processing and Phase Unwrapping

Charléty

Breton²,

Baillet

et al. 2023

IEEE J. Radio Freq. Identif.

View full text Add to dashboard Cite

Localization of passive Radio-Frequency Identification (RFID) tags has been used to monitor landslide surface displacement since 5 years. This method, applied on slow displacements lower than 1cm per day, allows a high spatiotemporal resolution at a relatively low cost. With the feedback of the previous years, this paper proposes to summarize the various challenges encountered with the long-term outdoor RFID localization method, and presents data-processing solutions that were implemented to overcome these challenges. We propose a complex-smoothing unwrapping algorithm, a multi-frequency merging operation, as well as multi-tag and multi-antenna phase combining method. The concept of an unwrapping reference guide is presented and applied with groups of tags showing coherent displacements, or with absolute reference measurements. These approaches allow a higher data availability up to 38% for one site over multiple years, and a better phase unwrapping. Earth surface displacement monitoring with RFID proves to be a robust and accurate solution, with four equipped sites across France and Switzerland.

show abstract

Section: Combining Data Across Space : Multiple Tags (Mt) and Reader ...mentioning

confidence: 99%

RFID Landslide Monitoring: Long-Term Outdoor Signal Processing and Phase Unwrapping

Charléty

Breton²,

Baillet

et al. 2023

IEEE J. Radio Freq. Identif.

View full text Add to dashboard Cite

show abstract

Section: Combining Data Across Space : Multiple Tags (Mt) and Reader ...mentioning

confidence: 99%

RFID landslide monitoring : long-term outdoor signal processing and phase unwrapping

Charléty¹,

Breton²,

Baillet³

et al. 2023

Preprint

View full text Add to dashboard Cite

<p>Localization of passive Radio-Frequency Identification (RFID) tags has been used to monitor landslide surface displacement since 5 years. This method, applied on slow displacements lower than 1cm per day, allows a high spatiotemporal resolution at a relatively low cost. With the feedback of the previous years, this paper proposes to summarize the various challenges encountered with the long-term outdoor RFID localization method, and presents data-processing solutions that were implemented to overcome these challenges. We propose a complex-smoothing unwrapping algorithm, a multi-frequency merging operation, as well as multi-tag and multi-antenna phase combining method. The concept of an unwrapping reference guide is presented and applied with groups of tags showing coherent displacements, or with absolute reference measurements. These approaches allow a higher data availability up to 38% for one site over multiple years, and a better phase unwrapping. Earth surface displacement monitoring with RFID proves to be a robust and accurate solution, with four equipped sites across France and Switzerland.</p>

show abstract

3D Internet of Things Accurately Localizes RFID Devices Using RSSI for Optimal Routing

Singh

2023

2023 International Conference on Data Science and Network Security (ICDSNS)

View full text Add to dashboard Cite

Hyperbolic Positioning and Tracking of Moving UHF-RFID Tags by Exploiting Neural Networks

Cited by 4 publications

References 12 publications

RFID Landslide Monitoring: Long-Term Outdoor Signal Processing and Phase Unwrapping

RFID Landslide Monitoring: Long-Term Outdoor Signal Processing and Phase Unwrapping

RFID landslide monitoring : long-term outdoor signal processing and phase unwrapping

3D Internet of Things Accurately Localizes RFID Devices Using RSSI for Optimal Routing

Contact Info

Product

Resources

About