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ARTICLES

Chipless RFID identification based on time reversal algorithm

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Pages 1045-1065 | Received 13 Apr 2022, Accepted 06 May 2023, Published online: 06 Jul 2023
 

Abstract

A chipless RFID identification based on time reversal algorithm is presented in this work. The key problems affecting the reliability of chipless RFID identification are analyzed by using the energy focusing feature of time reversal algorithm. Analysis carried out on the energy focusing model revealed that the time reversal array can realize the multi-antenna energy focusing at the tag, so as to improve the reading distance of chipless RFID tag. Furthermore, time reversal energy self-focusing algorithm was used to suppress the noise come from other scatters near the tag. Multi-tag identification can be realized by the application of selective focusing algorithm. MIMO time reveal antenna array and C shaped resonators chipless RFID tag simulation model is constructed to verify the correctness of the proposed method. The results show that two chipless RFID tags with a distance of 0.2 m in azimuth can be identified from 1 m away.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by National Natural Science Foundation of China [grant number 61671393].

Notes on contributors

Chen Su

Chen Su was born in Linfen, Shanxi, China in 1988. He received the BS degree in electronic and information engineering from Northeast Electric Power University, Jilin, China, in 2010 and the MS degree in circuits and systems from Chongqing University, Chongqing, China, in 2014. He is currently pursuing the PhD degree in control science and engineering at Southwest University of Science and Technology, Mianyang, Sichuan, China. From 2011 to 2014, he was a Research Assistant with the Center of Communication and TT&C, Chongqing University, where he worked on multi-target tracking. His research areas include chipless RFID, synthetic aperture radar and building deformation monitoring.

Chuanyun Zou

Chuanyun Zou was born in Chongqing China in 1960. He received the BS degree in physics from Nanjing University of Information Science & Technology, Nanjing, China, in 1982, the MS degree in laser technology and PhD degree in circuits and systems from the University of Electronic Science and Technology of China, Chengdu, China. From 1986 to 2006, he was a professor at the Guilin University of Electronic Technology, Guilin, China. In Spring 2006, he joined the Southwest University of Science and Technology as a doctoral supervisor. Currently, he is engaged in research on theories and technologies related to radio frequency identification and Internet of Things.

Liangyu Jiao

Liangyu Jiao was born in 1993. She received her BS degree in electronic and information engineering from Information College, Huaibei Normal University, Huaibei, China in 2015, and MS degree in agricultural informatization from College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, P. R. China in 2018. She is currently pursuing her PhD degree in control science and engineering at Southwest University of Science and Technology, China. Her research interests include design and identification of chipless RFID tag.

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