研究目的
To develop a system for verifying document originality using chipless RFID tags, frequency scanning, and cloud-based pattern recognition to reduce costs and enhance security and scalability.
研究成果
The developed chipless RFID system using symbolic tags, pattern recognition, and cloud computing achieves high detection rates (up to 96%) and offers advantages in cost reduction, security, and scalability. Future work may involve deep learning for individual character recognition.
研究不足
The system requires sufficient backscatter signal and may be affected by tag misprints or orientation changes. It relies on cloud connectivity and has not been tested with a large number of tags or in all environmental conditions.
1：Experimental Design and Method Selection:
The system involves printing chipless RFID tags on documents, scanning them in the 57-64 GHz frequency range, storing scattering parameters in a cloud database, and using pattern recognition algorithms (e.g., SVM, KNN, ensemble networks) for training and verification.
2：Sample Selection and Data Sources:
Tags are designed using symbolic alphabets (e.g., Peyote symbols) printed on various substrates like FR4 PCB and Mylar plastic. Data is collected from different tag positions and frequencies.
3：List of Experimental Equipment and Materials:
Includes chipless tags, reader hardware with TX/RX antennas (HMC6300/HMC6301), microcontroller (PSoC5), VCO (ADF4350), gain/phase detector (AD8302), WiFi module (ESP8266), and linear rail for positioning.
4：Experimental Procedures and Operational Workflow:
Tags are scanned at step frequencies, data is sent to the cloud for processing, and pattern recognition algorithms are trained and used for verification.
5：Data Analysis Methods:
Data is normalized, shuffled, and analyzed using classifiers in MATLAB on a cloud server (Nectar Cloud EC2), with performance metrics like accuracy and AUC evaluated.
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HMC6300
HMC6300
Analog Devices
Transmitter circuitry for generating 60 GHz signals
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HMC6301
HMC6301
Analog Devices
Receiver circuitry for demodulating backscattered signals
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ADF4350
ADF4350
Analog Devices
Voltage-controlled oscillator for baseband signal generation
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AD8302
AD8302
Analog Devices
Gain and phase detector for comparing sent and received signals
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PSoC5
PSoC5
Cypress Semiconductor
Microcontroller for controlling RF circuitry, linear rail, and data transfer
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ESP8266
ESP8266
Espressif Systems
WiFi module for data transfer to cloud
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MATLAB
MathWorks
Software for data processing and pattern recognition algorithms
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Nectar Cloud EC2
m2.small
Nectar
Cloud computing server for data storage and processing
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