Trajectory-Robust RFID Relative Localization Based on Phase Profile Correlation

Chen, Keqi; Ma, Yongtao; Liu, Hankai; Liang, Xiuyan; Fu, Yanxi

doi:10.1109/tim.2022.3223149

Cited by 8 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The RFID (radio frequency identification) tag is considered a key technology for both addressing physical objects and sensing [132]. The original task of RFID is identification and tracking [133][134][135][136][137][138][139][140][141][142].…”

Section: Rfidsmentioning

confidence: 99%

A Brief Review on Flexible Electronics for IoT: Solutions for Sustainability and New Perspectives for Designers

Scandurra

Arena

Ciofi

2023

Sensors

View full text Add to dashboard Cite

The Internet of Things (IoT) is gaining more and more popularity and it is establishing itself in all areas, from industry to everyday life. Given its pervasiveness and considering the problems that afflict today’s world, that must be carefully monitored and addressed to guarantee a future for the new generations, the sustainability of technological solutions must be a focal point in the activities of researchers in the field. Many of these solutions are based on flexible, printed or wearable electronics. The choice of materials therefore becomes fundamental, just as it is crucial to provide the necessary power supply in a green way. In this paper we want to analyze the state of the art of flexible electronics for the IoT, paying particular attention to the issue of sustainability. Furthermore, considerations will be made on how the skills required for the designers of such flexible circuits, the features required to the new design tools and the characterization of electronic circuits are changing.

show abstract

Section: Rfidsmentioning

confidence: 99%

A Brief Review on Flexible Electronics for IoT: Solutions for Sustainability and New Perspectives for Designers

Scandurra

Arena

Ciofi

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Summarized from the above references, to improve the accuracy of localization, some utilized the fine-grained phase as a feature for sensing the target [26][27][28], although it is troubled by phase ambiguity. To achieve low-cost and convenient applications, some utilized the coarse-grained RSS as an indicator to sense the targets [29][30][31] , although its accuracy is affected by the multi-path.…”

Section: Introductionmentioning

confidence: 99%

Object Localization and Sensing in Non-Line-of-Sight Using RFID Tag Matrices

Shen,

Duan,

Guo

et al. 2024

Electronics

View full text Add to dashboard Cite

RFID-based technology innovated a new field of wireless sensing, which has been applied in posture recognition, object localization, and the other sensing fields. Due to the presence of a Fresnel zone around a magnetic field when the RFID-based system is working, the signal undergoes significant changes when an object moves through two or more different Fresnel zones. Therefore, the moving object can be sensed more easily, and most of the sensing applications required the tag to be attached to the moving object for better sensing, significantly limiting their applications. The existing technologies to detect static objects in agricultural settings are mainly based on X-ray or high-power radar, which are costly and bulky, making them difficult to deploy on a large scale. It is a challenging task to sense a static target without a tag attached in NLOS (non-line-of-sight) detection with low cost. We utilized RFID technologies to sense the static foreign objects in agricultural products, and take metal, rock, rubber, and clod as sensing targets that are common in agriculture. By deploying tag matrices to create a sensing region, we observed the signal variations before and after the appearance of the targets in this sensing region, and determined the targets’ positions and their types. Here, we buried the targets in the media of seedless cotton and wheat, and detected them using a non-contact method. Research has illustrated that, by deploying appropriate tag matrices and adjusting the angle of a single RFID antenna, the matrices’ signals are sensitive to the static targets’ positions and their properties, i.e., matrices’ signals vary with different targets and their positions. Specifically, we achieved a 100% success rate in locating metallic targets, while the success rate for clods was the lowest at 86%. We achieved a 100% recognition rate for the types of all the four objects.

show abstract

“…Most systems utilize inertial measurement units (IMUs) with odometry [5], [6], ultrasonic sensors [7], ultra-wideband (UWB) tags [4], [8]- [11], LiDARs [12], cameras [5], [7], [12], [13], or speakers and microphones [14]- [16] for onboard local perception. For global infrastructure perception, received signal strength (RSS) fingerprints [17], [18], radio frequency identification (RFID) [19]- [21], UWB anchors [8], [11], [22], radars [23], [24], global navigation satellite system (GNSS) [25], [26], or motion capture systems [1], [27] are utilized. Network communication is facilitated through WiFi or Bluetooth [1], [11], [28].…”

Section: Introductionmentioning

confidence: 99%

Infrastructure-Free Relative Localization: System Modeling, Algorithm Design, Performance Analysis, and Field Tests

Gao,

Cheng,

Qiu

et al. 2024

Preprint

View full text Add to dashboard Cite

Relative localization is an essential part of autonomous multi-agent systems. Existing methods often require real-time communications, pre-installed infrastructure, and substantial computational resources. In this study, drawing inspiration from the collective behaviors of primitive animals, we propose an infrastructure-free 2D distributed relative localization framework utilizing onboard ranging sensors. We start with system modeling, based on which optimal sensor configuration and algorithm design are conducted. Subsequently, we perform a thorough performance analysis and validate the overall system design through field tests using unmanned ground vehicles (UGVs) equipped with ultra-wideband (UWB) ranging sensors and micro-controller units onboard. Contributions include the following: the geometric dilution of precision (GDOP) and Cramér-Rao lower bound (CRLB) are derived; a novel Euclidean distance matrix (EDM)-based trilateration algorithm and a maximum likelihood estimation algorithm are proposed; and comprehensive simulation and field tests are conducted to validate the viability of the proposed framework. Two use cases are considered: to localize a target sensor and to localize an agent. The theoretical, numerical, and experimental results will shed light on the design and optimization of relative localization systems, and our proposed framework holds potential for future extensions to 3D scenarios, different unmanned vehicle platforms, and multi-robot cooperative systems.

show abstract

Trajectory-Robust RFID Relative Localization Based on Phase Profile Correlation

Cited by 8 publications

References 36 publications

A Brief Review on Flexible Electronics for IoT: Solutions for Sustainability and New Perspectives for Designers

A Brief Review on Flexible Electronics for IoT: Solutions for Sustainability and New Perspectives for Designers

Object Localization and Sensing in Non-Line-of-Sight Using RFID Tag Matrices

Infrastructure-Free Relative Localization: System Modeling, Algorithm Design, Performance Analysis, and Field Tests

Contact Info

Product

Resources

About