Time–Domain Electromagnetic Identification Based on Rectangular Grooves
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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9895421/ |
| _version_ | 1797902332093005824 |
|---|---|
| author | Petr Kadlec |
| author_facet | Petr Kadlec |
| author_sort | Petr Kadlec |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T09:16:03Z |
| format | Article |
| id | doaj.art-fb426e4811744d7e845c5d349b0d55e7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T09:16:03Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-fb426e4811744d7e845c5d349b0d55e72023-02-21T00:00:55ZengIEEEIEEE Access2169-35362022-01-011010010410011210.1109/ACCESS.2022.32081729895421Time–Domain Electromagnetic Identification Based on Rectangular GroovesPetr Kadlec0https://orcid.org/0000-0002-0878-5442Department of Radio Electronics, Faculty of Electrical Engineering and Communication, Lerch Laboratory of EM Research, Brno University of Technology, Brno, Czech RepublicUnique 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.https://ieeexplore.ieee.org/document/9895421/Radiofrequency identificationinverse methodparticle swarm optimizationevolutionary computation |
| spellingShingle | Petr Kadlec Time–Domain Electromagnetic Identification Based on Rectangular Grooves IEEE Access Radiofrequency identification inverse method particle swarm optimization evolutionary computation |
| title | Time–Domain Electromagnetic Identification Based on Rectangular Grooves |
| title_full | Time–Domain Electromagnetic Identification Based on Rectangular Grooves |
| title_fullStr | Time–Domain Electromagnetic Identification Based on Rectangular Grooves |
| title_full_unstemmed | Time–Domain Electromagnetic Identification Based on Rectangular Grooves |
| title_short | Time–Domain Electromagnetic Identification Based on Rectangular Grooves |
| title_sort | time x2013 domain electromagnetic identification based on rectangular grooves |
| topic | Radiofrequency identification inverse method particle swarm optimization evolutionary computation |
| url | https://ieeexplore.ieee.org/document/9895421/ |
| work_keys_str_mv | AT petrkadlec timex2013domainelectromagneticidentificationbasedonrectangulargrooves |