A novel robot based data acquisition methodology for chipless RFID systems
dc.contributor.author | Rather, Nadeem | en |
dc.contributor.author | Simorangkir, Roy B. V. B. | en |
dc.contributor.author | O’Donnell, Cian | en |
dc.contributor.author | Gawade, Dinesh R. | en |
dc.contributor.author | Buckley, John L. | en |
dc.contributor.author | O’Flynn, Brendan | en |
dc.contributor.author | Tedesco, Salvatore | en |
dc.contributor.funder | European Regional Development Fund | en |
dc.contributor.funder | Science Foundation Ireland | en |
dc.contributor.funder | Enterprise Ireland | en |
dc.date.accessioned | 2023-10-31T16:23:05Z | |
dc.date.available | 2023-10-31T16:23:05Z | |
dc.date.issued | 2023-10-27 | en |
dc.description.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. | en |
dc.description.sponsorship | Enterprise Ireland (EI-DT20180291-A) | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Rather, N., Simorangkir, R. B. V. B., O’Donnell, C., Gawade, D. R., Buckley, J. L., O’Flynn, B. and Tedesco, S. (2023) 'A novel robot based data acquisition methodology for chipless RFID systems', 2023 IEEE 13th International Conference on RFID Technology and Applications (RFID-TA), Aveiro, Portugal, 4-6 September, pp. 49-52. doi: 10.1109/RFID-TA58140.2023.10290256 | en |
dc.identifier.doi | 10.1109/rfid-ta58140.2023.10290256 | en |
dc.identifier.eissn | 2836-3574 | en |
dc.identifier.endpage | 52 | en |
dc.identifier.isbn | 979-8-3503-3353-4 | en |
dc.identifier.isbn | 979-8-3503-3354-1 | en |
dc.identifier.issn | 2377-018X | en |
dc.identifier.startpage | 49 | en |
dc.identifier.uri | https://hdl.handle.net/10468/15171 | |
dc.language.iso | en | en |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en |
dc.relation.ispartof | 2023 IEEE 13th International Conference on RFID Technology and Applications (RFID-TA), Aveiro, Portugal, 4-6 September. | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3835/IE/VistaMilk Centre/ | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3918/IE/Confirm Centre for Smart Manufacturing/ | en |
dc.rights | © 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en |
dc.subject | Automation | en |
dc.subject | Chipless RFID | en |
dc.subject | Data acquisition | en |
dc.subject | Electromagnetics | en |
dc.subject | Machine learning | en |
dc.subject | RFID | en |
dc.subject | Robots | en |
dc.title | A novel robot based data acquisition methodology for chipless RFID systems | en |
dc.type | Conference item | en |