Mathematical Model of Chipless RFID Tags for Detection Improvement

Aliasgari, Javad; Karmakar, Nemai Chandra

doi:10.1109/tmtt.2020.2996953

Cited by 22 publications

(13 citation statements)

References 30 publications

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“…In general, the number of measurements required to measure a tag, including those associated with the calibration process, can be used as a metric to indicate practicality when comparing measurement approaches. Additionally, some measurement approaches with associated post processing procedures have been developed that explicitly do not require calibration [241][242][243][244][245]. In [193], a table (Table 1) is provided which shows whether one or two measurements are needed in the measurement approach.…”

Section: B Calibration Proceduresmentioning

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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Section: B Calibration Proceduresmentioning

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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“…The analysis of the backscatter signal from a multipatch-based chipless RFID tag was carried out in the time domain [ 51 , 56 , 60 ] and the overall system was described. Then, the system functioning, the chipless RFID tag design, and the nature of the backscatter were clarified based on the CST Microwave Studio simulation results.…”

Section: Model Of Chipless Rfid System For Backscattermentioning

confidence: 99%

“…This signal was applied to interrogate the chipless tags. The transmitted interrogation pulse, x(t), was obtained as follows [ 60 ]:

…”

Section: Model Of Chipless Rfid System For Backscattermentioning

confidence: 99%

Frequency-Spectra-Based High Coding Capacity Chipless RFID Using an UWB-IR Approach

Mekki

Necibi

Dinis

et al. 2021

Sensors

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A novel methodology is proposed to reliably predict the resonant characteristics of a multipatch backscatter-based radio frequency identification (RFID) chipless tag. An ultra-wideband impulsion radio (UWB-IR)-based reader interrogates the chipless tag with a UWB pulse, and analyzes the obtained backscatter in the time domain. The RFID system consists of a radar cross-section (RCS)-based chipless tag containing a square microstrip patch antenna array in which the chipless tag is interrogated with a UWB pulse by an UWB-IR-based reader. The main components of the backscattered signal, the structural mode, and the antenna mode were identified and their spectral quality was evaluated. The study revealed that the antenna-mode backscatter includes signal carrying information, while the structural mode backscatter does not include any tag information. The simulation findings were confirmed by experimental measurements obtained in an anechoic chamber environment using a 6-bit multipatch chipless RFID tag. Finally, the novel technique does not use calibration tags and can freely orient tags with respect to the reader.

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“…The tag is attached to wooden slab and the reader-tag polarization and rotation angle are studied in [34]. In [35], a mathematical model is presented to decode the tag ID, where the tag is mounted on a plastic jig placed in front of a metallic plate.…”

Section: Introductionmentioning

confidence: 99%

“…For the first time, we present the tag ID detection and decoding method using uncalibrated signals with tag mounted on various objects presenting various aspect angles. In this work, the tag is directly attached to a water tank (highly lossy) and a metallic plate (highly reflective), in contrast to [35], where the tag is not directly mounted on the metallic plate. Also, we will see that compared to the proposed spectrogram method, MPM (or STMPM) is not so simple to implement for single tag measurement.…”

Section: Introductionmentioning

confidence: 99%

Extraction of Aspect-Independent Parameters Using Spectrogram Method for Chipless Frequency-Coded RFID

et al. 2021

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Mathematical Model of Chipless RFID Tags for Detection Improvement

Cited by 22 publications

References 30 publications

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

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

Frequency-Spectra-Based High Coding Capacity Chipless RFID Using an UWB-IR Approach

Extraction of Aspect-Independent Parameters Using Spectrogram Method for Chipless Frequency-Coded RFID

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