Signal Processing of Chipless Radiofrequency Identification Using Short-Time Fourier Transform
| Name | Year |
| Jyun-Yi Jhang and Jin-An Lin | 2019 |
| Keywords | |
| Fourier transforms, radar cross-sections, radiofrequency Identification, signal processing |
This study aims at removing the chip on the tag of radio frequency identification (RFID) so that the cost can be reduced. The data of a conventional RFID tag is stored in the chip, and the antenna on the tag receives the signal from a reader. The signal is converted into voltage and current through integrated circuits in order to power chip, and then the data stored in the chip transmits to the reader. In contrast, the information of a chipless RFID tag is recorded using several electromagnetic resonators. Reading information from the resonators take two respective measurements, as evaluating RCS requires the information of the tag and the information of the clutter. Clearly, this procedure is unacceptable in real-world applications. In this study, we propose a performance-enhanced short-time Fourier transform (STFT) based technique. This method can removes unwanted signals and extract the ID directly. Moreover, the tag can be attached to general items, and the ID can be successfully detected. We evaluate the reliability of the proposed technique. The results show that the performance-enhanced STFT achieves high reliability in four real-world environments.
