Time-Domain Ultrawideband Chipless RFID Readers

Ghiri, Reza Ebrahimi; Entesari, Kamran

doi:10.1109/tim.2021.3091472

Cited by 8 publications

(7 citation statements)

References 28 publications

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“…CP-FTMW readers, in contrast to IR-UWB readers, use a broadband chirped pulse that is stretched in time while still generally having a shorter reader time than IR-UWB readers. This longer duration pulse provides for the transmitted power to be more evenly distributed over the frequency range of interest and provides for better frequency resolution post Fourier transform [203,236,254].…”

Section: A Reader Architecture Selectionmentioning

confidence: 99%

“…For both IR-UWB and CP-FTMW readers, a highperformance high-speed analog-to-digital converter (ADC) is needed to sample the signal that is scattered from the tag [61,203,236,254]. To reduce the cost associated with highperformance ADCs in custom solutions, a method that uses multiple ADCs and an equivalent time approach method have been proposed [236,272].…”

Section: A Reader Architecture Selectionmentioning

confidence: 99%

“…However, these issues can be mitigated with increased hardware complexity [236,268,273]. In practice, the pulse repetition rate can be increased and averaging can also be implemented to increase the SNR [203]. Additional recent developments of custom time-domain readers include, a fullytunable ultra-low jitter baseband pulse generator [274], reduction in read time through FPGA implementation optimization [236], a dual-comb technique for increasing the frequency resolution while reducing the complexity of the receiver portion of the reader design [203], a combined IR-UWB transmitter/frequency translation reading method [61], and a multicarrier-based receiver with a pulse distortion decoding approach [275].…”

Section: A Reader Architecture Selectionmentioning

confidence: 99%

See 2 more Smart Citations

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: A Reader Architecture Selectionmentioning

confidence: 99%

Section: A Reader Architecture Selectionmentioning

confidence: 99%

Section: A Reader Architecture Selectionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Techniques like equivalent-time sampling [15][16][17][18][19][20][21], filter bank (FB) sampling [22][23][24][25][26], and coherent or incoherent receivers have all been suggested to deal with the problem of the high sampling rate in UWB detection and monitoring. To effectively avoid the issue of an unnecessary sampling rate, equivalent-time sampling employs the periodicity of the signal to sample the signal for multiple periods and uses a single-chip low-speed ADC to achieve a higher equivalent sampling rate [19].…”

Section: Introductionmentioning

confidence: 99%

“…The FB technique employs a number of narrow band-pass filters and the same amounts of ADCs and then combines the output in the digital domain [22]. However, the equivalent-time sampling and FB techniques have their own complexities in terms of jitter control and precise highorder filter requirements, respectively [23]. Coherent and incoherent receivers are widely used to detect UWB for indoor localization.…”

Section: Introductionmentioning

confidence: 99%

A low sampling rate method for the monopole UWB impulse parameter monitoring using waveform transformation

Zhang¹,

Xie²,

Li³

et al. 2023

Meas. Sci. Technol.

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In ultra-wideband (UWB) impulse parameter monitoring, amplitude and pulse width measurements are crucial for detecting and classifying unknown impulse signals. Meanwhile, mass sampling data and the complexity of the current measurement technologies are the limitations of real-time and continuous monitoring. It urges to adopt a simple method that reduces the sampling rate without sacrificing accuracy. This article suggests a novel approach for the monopole UWB by analog signal preprocessing before sampling. A peak detector and integrator are utilized to retain the impulse amplitude and the area inside the impulse for a period, which is the so-called waveform transformation. A low-speed two-channel synchronous ADC samples the output signals from the peak detector and the integrator to determine the amplitude and the area. In the signal process, we demonstrate the concept that pulse width value equals the division of area and amplitude. Due to the distorted amplitude caused by the response time of the peak detector, the relationship between the distorted amplitude, the actual amplitude, and the pulse width is analyzed and examined based on the response function. Finally, the actual amplitude and pulse width are acquired and calculated by solving two equations. In terms of impulse waveform, rectangular and Gaussian waveform factors are developed and applied in the measurement. The proof-of-concept experimental results of a 0.68 V/ 18.8 ns rectangular impulse at a 10 Msps sampling rate is 0.711 V/ 17.00 ns with 4.56 %/ 9.57% relative error, tested and verified.

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On the Improvement of Baseband Section of Frequency-Domain Vector Chipless RFID Readers

Forouzandeh

Aliasgari

Karmakar

2022

IEEE J. Radio Freq. Identif.

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Time-Domain Ultrawideband Chipless RFID Readers

Cited by 8 publications

References 28 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

A low sampling rate method for the monopole UWB impulse parameter monitoring using waveform transformation

On the Improvement of Baseband Section of Frequency-Domain Vector Chipless RFID Readers

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