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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

High-performance temperature sensing is a key technique in modern Internet of Things. However, it is hard to attain a high precision while achieving a compact size for wireless sensing. Recently, metamaterials have been proposed to design a microwave, wireless temperature sensor, but precision is still an unsolved problem. By combining the high-quality factor (Q-factor) feature of a EIT-like metamaterial unit and the large temperature-sensing sensitivity performance of liquid metals, this paper designs and experimentally investigates an Hg-EIT-like metamaterial unit block for high figure-of-merit (FOM) temperature-sensing applications. A measured FOM of about 0.68 is realized, which is larger than most of the reported metamaterial-inspired temperature sensors.

Details

Title
High-FOM Temperature Sensing Based on Hg-EIT-Like Liquid Metamaterial Unit
Author
Li, Jian 1   VIAFID ORCID Logo  ; Zhou, Yuedan 1 ; Peng, Fengwei 1 ; Chen, Dexu 1 ; Chengwei Xian 1 ; Kuang, Pengjun 1 ; Ma, Liang 1 ; Wei, Xueming 2 ; Huang, Yongjun 1   VIAFID ORCID Logo  ; Wen, Guangjun 1 

 School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; [email protected] (J.L.); [email protected] (Y.Z.); [email protected] (F.P.); [email protected] (D.C.); [email protected] (C.X.); [email protected] (P.K.); [email protected] (L.M.); [email protected] (G.W.) 
 Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin 541004, China; [email protected] 
First page
1395
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20794991
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2663080342
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.