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KADLEC, P.
Originální název
Time-Domain Electromagnetic Identification Based on Rectangular Grooves
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Radiofrequency identification, Optimization, Inverse problems, Optical surface waves, Time-domain analysis, Surface waves, Voltage control, Radiofrequency identification, inverse method, particle swarm optimization, Evolutionary computation
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Vydáno
20. 9. 2022
Nakladatel
IEEE
Místo
USA
ISSN
2169-3536
Periodikum
IEEE Access
Ročník
10
Číslo
1
Stát
Spojené státy americké
Strany od
100104
Strany do
100112
Strany počet
9
URL
https://ieeexplore.ieee.org/document/9895421
Plný text v Digitální knihovně
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" }