Time-Domain Electromagnetic Identification Based on Rectangular Grooves

Time-Domain Electromagnetic Identification Based on Rectangular Grooves

WoS Article

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.

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.

Radiofrequency identification, Optimization, Inverse problems, Optical surface waves, Time-domain analysis, Surface waves, Voltage control, Radiofrequency identification, inverse method, particle swarm optimization, Evolutionary computation

Radiofrequency identification, Optimization, Inverse problems, Optical surface waves, Time-domain analysis, Surface waves, Voltage control, Radiofrequency identification, inverse method, particle swarm optimization, Evolutionary computation

KADLEC, P.

2023

20.09.2022

IEEE

USA

2169-3536

IEEE Access

10

1

United States of America

100104

100112

9

https://ieeexplore.ieee.org/document/9895421

http://hdl.handle.net/11012/208688

TimeDomain_Electromagnetic_Identification_Based_on_Rectangular_Grooves