A Novel Detection Technique for a Chipless RFID System Using Quantile Regression

Manekiya, Mohammedhusen; Donelli, Massimo; Kumar, Abhinav; Menon, Sreedevi K.

doi:10.3390/electronics7120409

Cited by 10 publications

(6 citation statements)

References 44 publications

(61 reference statements)

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“…By combining compact LC pressure sensors with spectral signature‐based chipless RFID tag, [ 43,44 ] a far‐field LC pressure sensor tag is fabricated. The chip‐less RFID tag uses spectral signatures for data encoding, and consists of a multiresonator coupled to transmitting and receiving antennas.…”

Section: Resultsmentioning

confidence: 99%

Array Integration and Far‐Field Detection of Biocompatible Wireless LC Pressure Sensors

Wen

Chen

et al. 2021

Small Methods

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In this paper, three configurations of LC (inductor–capacitor) pressure sensors are developed, namely series LC pressure sensors, compact LC pressure sensors, and far‐field LC pressure sensor tags. The modified silk protein films have been chosen as substrates due to their good biocompatibility and air/water permeability, which is suitable for continuously pasting such substrates on skin. For series LC pressure sensors, conducting wire is used to connect the flexible capacitor and spiral inductor. It exhibits good cycling stability and high sensitivities, suitable for electronic skin. For compact LC pressure sensors, the spiral coil functions as inductor, antenna, and capacitor electrode simultaneously, minimizing the space cost and is suitable for array integration, while the sensitivities remain the same. By tailoring the turn of the spiral coil, the resonate frequency can be regulated continuously. An annular array of compact LC sensors with ten distinct resonate frequencies ranged from 400 to 1000 MHz is developed to remotely monitor the press of number 0–9. Finally, far‐field LC pressure sensor tags with elongated detection distances are developed in which each compact LC sensor acts as a filter. A wireless in‐shoe plantar to detect the sole pressure distribution using the far‐field LC sensor configuration is developed.

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Section: Resultsmentioning

confidence: 99%

Array Integration and Far‐Field Detection of Biocompatible Wireless LC Pressure Sensors

Wen

Chen

et al. 2021

Small Methods

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“…In [311], for example, PCA was used to detect and characterize cracks in metal samples. Machine learning based techniques have also been considered, including in [338] and [339] where quantile regression is used, in [325] where linear discriminant analysis is used, [43] that sends tag response data to a cloud database where various pattern recognition algorithms are applied for supervised learning purposes, and in [223] the Support Vector Machine approach is found to have the best performance among four machine learning approaches tested, to give just a few examples [207,340,341].…”

Section: B Detection Of Response Features and Response Decodingmentioning

confidence: 99%

A Review of Chipless RFID Measurement Methods, Response Detection Approaches, and Decoding Techniques

Brinker

Zoughi

2022

IEEE Open J. Instrum. Meas.

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Chipless RFID systems can be considered as a special case of passive RFID systems, where the tag contains no power source and no electronics. Instead, the tag's information is stored in its structure and accessed through its electromagnetic (EM) scattering response. However, robust response detection, which is primarily a function of the measurement method, measurement equipment, and processing method used, is still a major challenge in the chipless RFID field. The consequences of not properly capturing a tag response include, incorrectly assigning an ID or incorrectly reporting a sensing parameter. Due to the criticality of these challenges, this review seeks to provide an overview of the current measurement methods, equipment architectures, and processing methods as they relate to chipless RFID tag response detection and decoding. Since chipless RFID started gaining popularity around 2005, the developments in this area have been focused on three major categories: timedomain, frequency-domain, and spatial-domain systems. Frequency-domain systems have emerged as the most popular among these three categories, and thus, this review focuses on techniques used for these systems.

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“…The mixer reference local oscillator is provided by the power splitter. After that, the signal is filtered with a low pass filter, amplified and post-processed [21] with an elaboration unit, usually a microcontroller or a computer. The mixer, lowpass filter, and frequency reference represent a homodyne detector [22,23] able to retrieve the amplitude as well as the phase information.…”

Section: Reader Structurementioning

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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A Novel Detection Technique for a Chipless RFID System Using Quantile Regression

Cited by 10 publications

References 44 publications

Array Integration and Far‐Field Detection of Biocompatible Wireless LC Pressure Sensors

Array Integration and Far‐Field Detection of Biocompatible Wireless LC Pressure Sensors

A Review of Chipless RFID Measurement Methods, Response Detection Approaches, and Decoding Techniques

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

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