Trajectory-Tracking of UHF RFID Tags, Exploiting Phase Measurements Collected From Fixed Antennas

Chatzistefanou, Aristidis Raptopoulos; Tzitzis, Anastasios; Megalou, Spyros; Sergiadis, George D.; Dimitriou, Antonis G.

doi:10.1109/jrfid.2021.3053101

Cited by 11 publications

(2 citation statements)

References 28 publications

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“…[ 19 ] achieved fine-grained positioning by using phase difference information measured by multiple antennas, making it possible to detect human activities at natural speeds by measuring the phase difference between pulses within the same pulse. In [ 20 ], Chatzistefanou et al utilized the measured phase differences for each antenna, combined them with hyperbolic curve fitting to calculate possible tag positions, evaluated the distance between the trajectory and hyperbolic curves, and selected the most suitable trajectory for the moving tag.…”

Section: Introductionmentioning

confidence: 99%

An RFID Tag Movement Trajectory Tracking Method Based on Multiple RF Characteristics for Electronic Vehicle Identification ITS Applications

Pan,

Han,

Liu

et al. 2023

Sensors

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Intelligent transportation systems (ITS) urgently need to realize vehicle identification, dynamic monitoring, and traffic flow monitoring under high-speed motion conditions. Vehicle tracking based on radio frequency identification (RFID) and electronic vehicle identification (EVI) can obtain continuous observation data for a long period of time, and the acquisition accuracy is relatively high, which is conducive to the discovery of rules. The data can provide key information for urban traffic decision-making research. In this paper, an RFID tag motion trajectory tracking method based on RF multiple features for ITS is proposed to analyze the movement trajectory of vehicles at important checkpoints. The method analyzes the accurate relationship between the RSSI, phase differences, and driving distances of the tag. It utilizes the information weight method to obtain the weights of multiple RF characteristics at different distances. Then, it calculates the center point of the common area where the vehicle may move under multi-antenna conditions, confirming the actual position of the vehicle. The experimental results show that the average positioning error of moving RFID tags based on dual-frequency signal phase differences and RSSI is less than 17 cm. This method can provide real-time, high-precision vehicle positioning and trajectory tracking solutions for ITS application scenarios such as parking guidance, unmanned vehicle route monitoring, and vehicle lane change detection.

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Section: Introductionmentioning

confidence: 99%

An RFID Tag Movement Trajectory Tracking Method Based on Multiple RF Characteristics for Electronic Vehicle Identification ITS Applications

Pan,

Han,

Liu

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…In each case, systems operate by detection of the nearest tag using a single moving reader and ranges are limited to a few cm. UHF RFID has seen a proliferation of localization schemes based on signal strength or phase derived from single or multiple tags and acquired by single or multiple readers, for example as summarized in Table I [20]- [27]. Reviews can be found in [28]- [30].…”

Section: Introductionmentioning

confidence: 99%

HF RFID Tag Location Using Magneto-Inductive Waves

Syms

Voronov

Sydoruk

2022

IEEE J. Radio Freq. Identif.

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Location of passive RFID tags in the HF regime presents significant problems, because of the absence of radiating fields at the low frequencies involved. Here we present a solution for one-dimensional localization based on magneto-inductive (MI) waves. Passive tags are interrogated using a travelling wave antenna based on a MI waveguide, a magnetically coupled array of 𝑳 − 𝑪 resonators supporting travelling waves. Load modulation signals generated by the tag during its unique identifier response are coupled into the waveguide and travel to either end with low group velocity. Signal timings are measured by cross-correlation, and the tag position is estimated to the nearest resonant loop from the difference in their arrival times. Correlation detection is demonstrated using a system model, and theoretical predictions are confirmed using an experimental system containing eleven transformer-coupled resonators operating at 13.56 MHz frequency. Accurate localization is obtained up to the tag reading limit using <1W RF power.

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An efficient key tag missing identification protocol for multiple regions in the Industrial Internet of Things

Zhong,

Xi,

Islam

et al. 2024

Physical Communication

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Trajectory-Tracking of UHF RFID Tags, Exploiting Phase Measurements Collected From Fixed Antennas

Cited by 11 publications

References 28 publications

An RFID Tag Movement Trajectory Tracking Method Based on Multiple RF Characteristics for Electronic Vehicle Identification ITS Applications

An RFID Tag Movement Trajectory Tracking Method Based on Multiple RF Characteristics for Electronic Vehicle Identification ITS Applications

HF RFID Tag Location Using Magneto-Inductive Waves

An efficient key tag missing identification protocol for multiple regions in the Industrial Internet of Things

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