High-Accuracy Indoor Localization Based on Chipless RFID Systems at THz Band

El-Absi, Mohammed; Abbas, Ali Alhaj; Abuelhaija, Ashraf; Zheng, Feng; Solbach, Klaus; Kaiser, Thomas

doi:10.1109/access.2018.2871960

Cited by 87 publications

(67 citation statements)

References 49 publications

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“…Many approaches to chipless tag localization use time-resolved techniques [137][138][139] typical of widespread chipped RFID technologies, such as round-trip time of flight [140], or phase acquisition [141,142]. Frequency coded approaches are also present [143][144][145], even though detecting and localizing the chipless tags could be challenging because the indoor signal propagation environments are complex and the backscattered signal from the tag is weak [146][147][148].…”

Section: Position Displacement and Touch Sensorsmentioning

confidence: 99%

Chipless RFID Sensors for the Internet of Things: Challenges and Opportunities

Mulloni

Donelli

2020

Sensors

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Radio-frequency identification (RFID) sensors are one of the fundamental components of the internet of things that aims at connecting every physical object to the cloud for the exchange of information. In this framework, chipless RFIDs are a breakthrough technology because they remove the cost associated with the chip, being at the same time printable, passive, low-power and suitable for harsh environments. After the important results achieved with multibit chipless tags, there is a clear motivation and interest to extend the chipless sensing functionality to physical, chemical, structural and environmental parameters. These potentialities triggered a strong interest in the scientific and industrial community towards this type of application. Temperature and humidity sensors, as well as localization, proximity, and structural health prototypes, have already been demonstrated, and many other sensing applications are foreseen soon. In this review, both the different architectural approaches available for this technology and the requirements related to the materials employed for sensing are summarized. Then, the state-of-the-art of categories of sensors and their applications are reported and discussed. Finally, an analysis of the current limitations and possible solution strategies for this technology are given, together with an overview of expected future developments.

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Section: Position Displacement and Touch Sensorsmentioning

confidence: 99%

Chipless RFID Sensors for the Internet of Things: Challenges and Opportunities

Mulloni

Donelli

2020

Sensors

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“…As stated before, the sub-mm localization system is essential for the SAR process. Therefore, a chipless RFID based localization system operated at THz band proposed in [12] is considered in this work. The UAV which acts as the reader in the RFID based localization system collects measurements from the reference nodes, i.e.…”

Section: B Localization Systemmentioning

confidence: 99%

“…The UAV in this room is not aware of its position and aims at localizing itself, where = [ ̅ , y , z ] ∈ is the UAV coordinate vector to be estimated. The tag is designed as a combination of a dielectric resonator (DR) and a dielectric spherical lens aiming at enhancing the RCS of the chipless tag, and hence extending its range [12].…”

Section: B Localization Systemmentioning

confidence: 99%

“…The major contribution in the increase of accuracy is due to overlap reduction of the line of sight and non-line of sight paths with the increase in bandwidth. The deep insight into this localization system algorithms and methods are available in [12]. With 50 GHz of bandwidth, localization error is less than 2.5 mm ( /4) at 99.99% confidence.…”

Section: Moco With Passive Localization Systemmentioning

confidence: 99%

“…To overcome this challenge, the THz SAR in this paper has been realized with an indoor localization system providing sub-mm accuracy. The THz based chipless Radio Frequency Identification (RFID) localization system proposed in [12] is utilized to enable selflocalization of the UAV using the infrastructure composed from the reference chipless tags.…”

Section: Introduction and Related Workmentioning

confidence: 99%

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Indoor THz SAR Trajectory Deviations Effects and Compensation With Passive Sub-mm Localization System

et al. 2020

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In radar remote sensing, the Terahertz (THz) spectrum is presently being investigated worldwide with focus on short-range indoor and outdoor applications. The spectrum broadens the unmanned aerial vehicle (UAV) based synthetic aperture radar (SAR) applications to indoor room profiling with submm resolution and material characterization as many materials have unique fingerprints at this spectrum. SAR technique requires precise localization information of the mobile radar sensor, which in conventional SAR is achieved using an existing localization infrastructure, such as a global positioning system (GPS) and inertial measurement unit (IMU). For the indoor THz SAR, the GPS does not provide coverage in indoor complex environments, and also the state-of-art compact IMU does not provide the required sub-mm accuracy. These limitations can be overcome by utilizing an indoor localization system. Therefore, this paper presents an indoor THz simultaneous localization and mapping (SLAM) system. The system comprises of passive tags based radio frequency identification (RFID) localization system and SAR that provides the UAV localization and mapping of the in-room objects. Another challenge for the UAV based indoor THz SAR that is addressed in this paper is motion compensation (MOCO). At the THz, MOCO requires special consideration due to very small trajectory deviation is in the range of carrier wavelength. Therefore, to study the effects of the sub-mm translational errors, a testbed has been set up, and measurement results are presented in this paper along with the 3D electromagnetic simulation results for a carrier frequency of 275 GHz and bandwidth of 50 GHz. Further, to compensate these errors, the sub-mm localization system is used and the results are presented to validate the proposed solution for indoor THz SAR MOCO.

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Potential of THz Broadband Systems for Joint Communication, Radar, and Sensing Applications in 6G

Müller

Landmann

2021

Shaping Future 6G Networks

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High-Accuracy Indoor Localization Based on Chipless RFID Systems at THz Band

Cited by 87 publications

References 49 publications

Chipless RFID Sensors for the Internet of Things: Challenges and Opportunities

Chipless RFID Sensors for the Internet of Things: Challenges and Opportunities

Indoor THz SAR Trajectory Deviations Effects and Compensation With Passive Sub-mm Localization System

Potential of THz Broadband Systems for Joint Communication, Radar, and Sensing Applications in 6G

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