Abstract

Chipless radio frequency identification (RFID) is a wireless technology that has the potential for many industrial applications, including the internet of things (IoT) applications, in which identification, sensing, and tracking are required. This technology has been improved during the last century. However, the processing of the backscattered signal in a chipless RFID system is still a challenge because the encoded data are embedded in the backscattered signal of a passive tag. The reader hardware, antennas, and the wireless channel have their own response in the received signal, which contains the tag ID information. The tag also produces a response, which is a combination of responses from different resonators, substrate, and copper reflection in a tag. In this paper, the reflection from a typical chipless RFID tag is analyzed, and all components of the backscattered signal are separated in both time and frequency domains. In addition, an equivalent circuit model for a backscattered chipless RFID tag is proposed, and the model is verified based on the actual performance of the resonator. This study has some important implications for future research.

Highlights

  • Nowadays, people’s lifestyles have been changed by the advanced technologies that need identification, tracking, and sensing to build the internet of things (IoT) systems

  • In order to study the effect of different components in a captured signal in a chipless Radio frequency identification (RFID) system, a simplified system was simulated in CST Microwave Studio 2017

  • RFID system is shown in Figure 3 in which the antenna was loaded with a chipless RFID tag

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Summary

Introduction

People’s lifestyles have been changed by the advanced technologies that need identification, tracking, and sensing to build the internet of things (IoT) systems. The reader hardware of a chipless RFID system is more complicated than a conventional chipped RFID reader system This is due to the fact that UWB passive design with octave bandwidth is highly challenging. There is a significant challenge in encoding data into a passive microwave UWB circuit and extracting the tag’s ID from the backscattered signal. Time windowed fromthe theinput input time-domain measured time windowed background subtraction signal;. A suggested signal processing algorithm to extract the antenna mode RCS from the signal is. A suggested signal processing algorithm to extract the antenna mode RCS from the signal is explained in [25] in which the unwanted signal components such as the structural mode RCS and the explained in [25].

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