Detection error rate analysis using coloured noise for the movement of chipless RFID tag

Bibile, Meriam A.; Karmakar, Nemai Chandra

doi:10.1109/ausms.2018.8346952

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…In terms of quantitative decoding performance metrics, the two most common ones are detection error rate (DER) and throughput. These are related to the number of successful response decodings [65,305,308,322,342]. However, what constitutes "success" tends to vary from one work to the next, and is not always explicitly stated.…”

Section: Decoding Metricsmentioning

confidence: 99%

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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: Decoding Metricsmentioning

confidence: 99%

“…DER and throughput can be evaluated as a function of reading distance and SNR, with a higher SNR corresponding to a higher throughput and therefore lower DER [77,295,305,342]. An example of this is provided in Fig.…”

Section: Decoding Metricsmentioning

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 reason for this is that white noise is more representative of the receiver noise, which is already accounted for in the S11 uncertainty analysis of the previous section, than background reflections [3]. When it comes to colored noise, Brownian noise has been previously used in chipless RFID Monte Carlo simulations to mimic the effects of tag movement [6]. However, the measurement configuration used in this work is static so this is also not applicable.…”

Section: B Clutter Uncertaintymentioning

confidence: 99%

Local Sensitivity Analysis and Monte Carlo Simulation to Examine the Effects of Chipless RFID Measurement Uncertainties—Part II: Consideration of Multiple Measurement Uncertainties

Brinker

Zoughi

2022

IEEE Open J. Instrum. Meas.

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Measurement and response decoding is an ongoing challenge in the chipless radio frequency identification (RFID) field. Measurement uncertainties, including tag/reader misalignment, S-parameter error, and clutter, can cause response distortions, such as magnitude changes and resonant frequency shifts, that can lead to the improper assignment of a binary code or sensing parameter (i.e., decoding). This work aims to use local sensitivity analysis and Monte Carlo simulation to fully characterize the effects of misalignment, response parameter measurement error (e.g., VNA S-parameter error), and clutter on chipless RFID responses that are measured in the near-field with a monostatic setup. From this type of comprehensive characterization, conclusions are drawn about the identification (ID) and sensing capabilities of the tags. While the effect of misalignment-based uncertainty was examined in Part I, here in Part II S11 uncertainty and clutter-based uncertainty are examined both individually and in combination with misalignment-based uncertainty. An example, demonstrating the application of the proposed tag performance assessment framework is also provided.

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“…Some of them might be the RCS pattern of the tag, radiation antenna and distance between the tag and the antenna. The variation of amplitude was further analyzed by taking root mean square error (RMSE) of tag response at a different position given by The n sample of data at a distinct position from d v=0 cm to d v=n v is taken at a different distance d h from the reader as shown in TABLE 1 [36]. The table shows that there is a variation of amplitude at the specific resonance frequency points.…”

Section: A Moving At Different Stepped Positionsmentioning

confidence: 99%

Analysis of Artifacts on Chipless RFID Backscatter Tag Signals for Real World Implementation

et al. 2019

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Chipless radio-frequency identification (RFID) has been studied as an alternative technique to conventional chipped RFID. However, chipless RFID tag backscatter signals are affected by motion and especially when they are attached to different objects. In this paper, we performed a comprehensive analysis of the backscattered chipless tag signal in two different stages. At the first stage, we performed an analysis of the backscattered signal in the nonanechoic environment when the frequency-coded tags were moving at different stepped positions. Then we continued to identify the response of signal where the chipless tag was attached to highly scattering objects. The results showed the variation in amplitude and shifting in the frequency of tag resonant when the tag was moving at different stepped positions. The variation was more prominent when the tag was attached to random objects. In order to address the issue, we conducted an experiment on orientation insensitive ground plane tag to solve the frequency shifting problem and proposed a robust detection method based on mother wavelet for the detection of tag IDs. The overall results show that the proposed technique reduces uncertainty in frequency-based chipless RFID tag signal response due to the variation in amplitude. The technique also helps in detecting the tag data bits with better resolution and has a good arrangement between time and frequency resolution for high-frequency signal components. The throughput of 90% is obtained even when the tag is attached to highly scattering objects. Finally, to validate the performance, a ground plane tag is implemented and the proposed algorithm is experimentally demonstrated. INDEX TERMS Chipless RFID, radar cross section (RCS), horn antennas, backscattered signal, detection algorithm, continuous wavelet transforms.

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Detection error rate analysis using coloured noise for the movement of chipless RFID tag

Cited by 6 publications

References 5 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

Local Sensitivity Analysis and Monte Carlo Simulation to Examine the Effects of Chipless RFID Measurement Uncertainties—Part II: Consideration of Multiple Measurement Uncertainties

Analysis of Artifacts on Chipless RFID Backscatter Tag Signals for Real World Implementation

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