@inbook{190928c6ae994650a950b71e45aa9ae2,
title = "A Novel Robot Based Data Acquisition Methodology for Chipless RFID Systems",
abstract = "In this paper, a novel automated data acquisition methodology is presented for chipless RFID systems. The proposed method utilises a Raspberry Pi to act as an interface between a vector network analyser and a universal arm robot to perform automated measurements. A 98\% improvement in data acquisition time is achieved when compared to standard manual data collection methodology. The system is validated by collecting 9,600 radar cross section electromagnetic signatures from a 3-bit chipless RFID capacitive sensor tag for five different cases at four positions. By enabling large, efficient, and accurate data collection, this methodology can support the development of machine learning models that can improve the performance and functionality of chipless RFID technology.",
keywords = "Automation, chipless RFID, Data acquisition, Electromagnetics, Machine Learning, RFID, Robots",
author = "Nadeem Rather and Simorangkir, \{Roy B.V.B.\} and Cian O'Donnell and Gawade, \{Dinesh R.\} and Buckley, \{John L.\} and Brendan O'Flynn and Salvatore Tedesco",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 13th IEEE International Conference on RFID Technology and Applications, RFID-TA 2023 ; Conference date: 04-09-2023 Through 06-09-2023",
year = "2023",
doi = "10.1109/RFID-TA58140.2023.10290256",
language = "English",
series = "2023 IEEE 13th International Conference on RFID Technology and Applications, RFID-TA 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "49--52",
booktitle = "2023 IEEE 13th International Conference on RFID Technology and Applications, RFID-TA 2023 - Proceedings",
address = "United States",
}