Abstract
In this paper, the multiple-input, multiple-output (MIMO) radar signal processing algorithm is efficiently employed as an anticollision methodology for the identification of multiple chipless radio-frequency identification (RFID) tags. Tag-identifying methods for conventional chipped RFID tags rely mostly on the processing capabilities of application-specific integrated circuits (ASICs). In cases where more than one chipless tag exists in the same area, traditional methods are not sufficient to successfully read and distinguish the IDs, while the direction of each chipless tag can be obtained by applying MIMO technology to the backscattering signal. In order to read the IDs of the tags, beamforming is used to change the main beam direction of the antenna array and to receive the tag backscattered signal. On this basis, the RCS of the tags can be retrieved, and associated IDs can be identified. In the simulation, two tags with different IDs were placed away from each other. The IDs of the tags were successfully identified using the presented algorithm. The simulation result shows that tags with a distance of 0.88 m in azimuth can be read by a MIMO reader with eight antennas from 3 m away.
Highlights
Radiofrequency identification (RFID) technology is a wireless data capture technology
radio-frequency identification (RFID) tags are widely deployed in the Internet of Things system, and the tag cost has become an important factor restricting the application of RFID technology
Chipless RFID tags are similar to ordinary bar codes and QR codes in function, but their applications are wider
Summary
Citation: Su, C.; Zou, C.; Jiao, L.; Zhang, Q. A MIMO Radar Signal Processing Algorithm for Identifying Chipless RFID Tags. Sensors 2021, 21, 8314. https://doi.org/10.3390/ s21248314 Academic Editors: Ying-Ren Chien, Mu Zhou, Liang-Hung Wang, Xun Zhang and Antonio Lázaro Received: 1 November 2021 Accepted: 10 December 2021 Published: 12 December 2021 Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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