Current Optics and Photonics

Optical Society of Korea (한국광학회)
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A Novel RFID Dynamic Testing Method Based on Optical Measurement

  • Zhenlu Liu (College of Physics, Nanjing University of Aeronautics and Astronautics) ;
  • Xiaolei Yu (College of Physics, Nanjing University of Aeronautics and Astronautics) ;
  • Lin Li (College of Physics, Nanjing University of Aeronautics and Astronautics) ;
  • Weichun Zhang (College of Physics, Nanjing University of Aeronautics and Astronautics) ;
  • Xiao Zhuang (College of Physics, Nanjing University of Aeronautics and Astronautics) ;
  • Zhimin Zhao (College of Physics, Nanjing University of Aeronautics and Astronautics)
  • Received : 2023.10.11
  • Accepted : 2023.12.26
  • Published : 2024.04.25
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Abstract

The distribution of tags is an important factor that affects the performance of radio-frequency identification (RFID). To study RFID performance, it is necessary to obtain RFID tags' coordinates. However, the positioning method of RFID technology has large errors, and is easily affected by the environment. Therefore, a new method using optical measurement is proposed to achieve RFID performance analysis. First, due to the possibility of blurring during image acquisition, the paper derives a new image prior to removing blurring. A nonlocal means-based method for image deconvolution is proposed. Experimental results show that the PSNR and SSIM indicators of our algorithm are better than those of a learning deep convolutional neural network and fast total variation. Second, an RFID dynamic testing system based on photoelectric sensing technology is designed. The reading distance of RFID and the three-dimensional coordinates of the tags are obtained. Finally, deep learning is used to model the RFID reading distance and tag distribution. The error is 3.02%, which is better than other algorithms such as a particle-swarm optimization back-propagation neural network, an extreme learning machine, and a deep neural network. The paper proposes the use of optical methods to measure and collect RFID data, and to analyze and predict RFID performance. This provides a new method for testing RFID performance.

Keywords

Acknowledgement

The National Natural Science Foundation of China (NSFC) (61771240); China Postdoctoral Science Foundation (2022M711620).

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