E3DinSAR: 3-D Localization of RFID-Tagged Objects Based on Interference Synthetic Apertures

Liang, Xiaoxuan; Huang, Zhilong; Yang, Shengqi; Qiu, Lanxin

doi:10.1109/jiot.2020.2999056

Cited by 19 publications

(4 citation statements)

References 41 publications

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“…Results show a 35 cm mean error in a case where tags are positioned on several vertical planes. The work in [32] has reported an improved Interferometric SAR-based 3D localization that enables quick estimations with a mean accuracy of 18.4 cm on a moving single antenna system. A recent approach exploited synthetic apertures and phase unwrapping together with least square methods to solve the multilateration problem [33], obtaining an accuracy of around 12 cm.…”

Section: State Of the Artmentioning

confidence: 99%

“…Robot motion followed curved paths inside an office scenario moving around some tags displaced at the center of the environments and facing several tags mounted on the office walls. Figure [31] 34.8 cm (28.2 cm) Work in [32] 20.27 cm (26.0 cm) Work in [33] 13.0 cm (6.3 cm) PF-KU 1.15 cm (0.1 cm) PF-KW 1.17 cm (0.3 cm) 12 shows the acquired motions of the antennas and the tags' positions.…”

Section: Experimental Datasetmentioning

confidence: 99%

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A UHF Passive RFID Tag Position Estimation Approach Exploiting Mobile Robots: Phase-Only 3D Multilateration Particle Filters With No Unwrapping

Tripicchio,

D’Avella,

Unetti

et al. 2024

IEEE Access

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Radio-frequency identification is one of the Internet of Things' most promising technologies and has been recently used in combination with mobile robots for logistics in business and retail applications. This manuscript deals with the localization of passive UHF RFID tags within industrial environments employing receiving antennas mounted on a mobile robot by using multilateration techniques that exploit narrowband phase-delay measurements. Two distinct Particle Filter approaches are presented to solve the 3D multilateration problem online and take advantage of a synthetic aperture created by the motion of the robot in the environment. One of the methods can operate in the presence of acquisition jumps since it does not rely on an unwrapping technique. Experimental results show promising performance concerning the recent literature. Moreover, the presented approach enables robust estimations concerning signal loss due to communication disturbances in noisy environments, typical of the industrial setting.

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Section: State Of the Artmentioning

confidence: 99%

Section: Experimental Datasetmentioning

confidence: 99%

A UHF Passive RFID Tag Position Estimation Approach Exploiting Mobile Robots: Phase-Only 3D Multilateration Particle Filters With No Unwrapping

Tripicchio,

D’Avella,

Unetti

et al. 2024

IEEE Access

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“…The principles of holography-practice of making holograms or 3-D images-have been applied not only with light waves but also with microwaves and acoustic waves. Holographic methods are well known in the area of ultrasonic and radar imaging [22]- [24] and have found several applications at microwave frequencies such as biomedical imaging [25], concealed weapon detection [26], [27], and RFID tags localization [28]- [32]. The basic concept behind holography is to correlate a signature measured by multiple radar/reader units with a reference signature generated at every possible location.…”

Section: A Theory Of Operationmentioning

confidence: 99%

“…This technique applied in those works on UHF hardware [28], [29], [32]- [34] is inspired by SAR that leverages the motion of the radar antenna over a target region to provide fine range measurement and resolution. Holography-based tag localization involves two major steps: 1) measurement or simulation and storage of the backscattered signals (phase and/or RSSI information) at each possible location and 2) hologram generation and tag localization.…”

Section: A Theory Of Operationmentioning

confidence: 99%

Holography-Based Target Localization and Health Monitoring Technique Using UHF Tags Array

Eid

Zhu

et al. 2021

IEEE Internet Things J.

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Radio technologies are appealing for unobtrusive and remote monitoring of human activities. Radar-based human activity recognition proves to be a success, for example, Project Soli developed by Google. However, it is expensive to scale up for multiuser environments. In this article, we propose a solutionthe HoloTag system-which circumvents the multichannel-radar scaling problem through the use of a quasivirtual ultralow-cost UHF RFID array over which a holographic projection of its environment is measured and used to both localize and monitor the health of several targets. The method is first described in detail, before the image reconstruction process, employing known beamforming algorithms-Delay & Sum, and Capon-is shown and its scaling properties simulated. Then, the idiosyncrasies of the implementation of HoloTag using low-cost off-the-shelf hardware are explained, before its ability to simultaneously measure the breathing rates and positions of multiple real and synthetic targets with accuracies of better than 0.8 bpm and 20 cm is demonstrated.

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Efficient localization in warehouse logistics: a comparison of LMS approaches for 3D multilateration of passive UHF RFID tags

Tripicchio

D’Avella

Unetti

2022

Int J Adv Manuf Technol

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The Fourth Industrial Revolution, or Industry 4.0, aims at automating traditional manufacturing and industrial practices using modern smart technology. Autonomous mobile robots equipped with different sensors and employing different techniques have been proposed in the literature in the logistics and inventory warehouse management contexts. Efficient robot motion and planning depend on precise localization, mapping, and awareness of the environment. To properly localize items, recent attempts have been made employing radio frequency identification (RFID) in a 3D environment. This manuscript introduces four least mean squares methods to estimate the 3D positions of tags employing synthetic apertures and phase unwrapping. The proposed methods approach the localization problem solving a system of equations typical of multilateration methods to find the intersections of multiple hyperboloids. The novelty introduced here is the use of unwrapped phase distances to compute pseudo ranges for the multilateration problem. The use of such a technique is feasible thanks to precise mobile robot localization and custom navigation policies. All the analyzed methods are suitable for online localization due to reduced computation timings and have been tested on three different datasets. Two of them contain virtual data that has been generated by simulation, while the other one comes from an indoor experimental setup. Simulated tests show that combined antenna motions in 3D space (including Z-axis) improve the localization obtaining errors under the centimeter for 3D localization. Experimental tests obtained results as low as 13 cm of mean accuracy for 3D localization and 0.21 cm for 2D localization.

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E3DinSAR: 3-D Localization of RFID-Tagged Objects Based on Interference Synthetic Apertures

Cited by 19 publications

References 41 publications

A UHF Passive RFID Tag Position Estimation Approach Exploiting Mobile Robots: Phase-Only 3D Multilateration Particle Filters With No Unwrapping

A UHF Passive RFID Tag Position Estimation Approach Exploiting Mobile Robots: Phase-Only 3D Multilateration Particle Filters With No Unwrapping

Holography-Based Target Localization and Health Monitoring Technique Using UHF Tags Array

Efficient localization in warehouse logistics: a comparison of LMS approaches for 3D multilateration of passive UHF RFID tags

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