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Publication detail
KADLEC, P.
Original Title
Time-Domain Electromagnetic Identification Based on Rectangular Grooves
Type
journal article in Web of Science
Language
English
Original Abstract
Unique identification of goods and products is an integral part of today's automated world. Conventional optical systems cannot be operated in environments of poor visibility. The radio-frequency identification systems require expensive development, production, and installation of passive tags. In this paper, we propose a system that stores the information necessary for the distinction of individual items into a set of grooves with different geometric properties. The individual items are then identified based on observing the response to the electromagnetic wave in the time domain. The proposed identification system benefits from the cooperation of a semi-analytical computational scheme based on the Cagniard-DeHoop Method of Moments and a global optimization algorithm that solves the inverse problem of grooves characterization. The proposed system is validated on several computational examples. Also, the resilience of the proposed system to the influence of the noise added to the observed response is investigated. Finally, the influence of reflected signals on the accuracy of the system is assessed.
Keywords
Radiofrequency identification, Optimization, Inverse problems, Optical surface waves, Time-domain analysis, Surface waves, Voltage control, Radiofrequency identification, inverse method, particle swarm optimization, Evolutionary computation
Authors
Released
20. 9. 2022
Publisher
IEEE
Location
USA
ISBN
2169-3536
Periodical
IEEE Access
Year of study
10
Number
1
State
United States of America
Pages from
100104
Pages to
100112
Pages count
9
URL
https://ieeexplore.ieee.org/document/9895421
Full text in the Digital Library
http://hdl.handle.net/11012/208688
BibTex
@article{BUT179556, author="Petr {Kadlec}", title="Time-Domain Electromagnetic Identification Based on Rectangular Grooves", journal="IEEE Access", year="2022", volume="10", number="1", pages="100104 --100112", doi="10.1109/ACCESS.2022.3208172", issn="2169-3536", url="https://ieeexplore.ieee.org/document/9895421" }