.png){kind=icon}
返回
Time-Domain Electromagnetic Identification Based on Rectangular Grooves
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2022.3208172.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Radiofrequency identification
Optimization
Inverse problems
Optical surface waves
Time-domain analysis
Surface waves
Voltage control
Radiofrequency identification
inverse method
particle swarm optimization
evolutionary computation
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Effects of two cooling garments on post-exercise thermal comfort of female subjects in the heat
PREAI
分享收藏A Fast and Universal RFID Tag Anti-Collision Algorithm for the Internet of Things.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏分享收藏GO/PO Method for the Terahertz Scattering Computation of Objects With Multiple Small-Scale GroovesIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
查看更多内容