LAPSE:2023.2588
Published Article

LAPSE:2023.2588
A Substrate Integrated Waveguide Resonator Sensor for Dual-Band Complex Permittivity Measurement
February 21, 2023
Abstract
This paper presents a novel dual-band substrate integrated waveguide (SIW) sensor that is designed to measure the complex permittivities of liquids or solid powders at two industrial, scientific, and medical (ISM) frequencies simultaneously. Resonant frequencies and quality factors are obtained from S-parameter measurements with the proposed SIW sensor, and applied to reconstructing the permittivities of materials under test through an artificial neural network. The water−ethanol mixed liquids were measured with the proposed sensor. The maximum deviations of the measured permittivities at 2.45 and 5.8 GHz are within 3% of literature results. The measurement by the proposed SIW sensor with artificial neural network reconstruction is accurate and efficient.
This paper presents a novel dual-band substrate integrated waveguide (SIW) sensor that is designed to measure the complex permittivities of liquids or solid powders at two industrial, scientific, and medical (ISM) frequencies simultaneously. Resonant frequencies and quality factors are obtained from S-parameter measurements with the proposed SIW sensor, and applied to reconstructing the permittivities of materials under test through an artificial neural network. The water−ethanol mixed liquids were measured with the proposed sensor. The maximum deviations of the measured permittivities at 2.45 and 5.8 GHz are within 3% of literature results. The measurement by the proposed SIW sensor with artificial neural network reconstruction is accurate and efficient.
Record ID
Keywords
measurement, permittivity, resonator sensor, substrate integrated waveguide (SIW)
Subject
Suggested Citation
Chen Q, Long Z, Shinohara N, Liu C. A Substrate Integrated Waveguide Resonator Sensor for Dual-Band Complex Permittivity Measurement. (2023). LAPSE:2023.2588
Author Affiliations
Chen Q: College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China [ORCID]
Long Z: Chengdu Research Center, Huawei Technologies Co., Ltd., Chengdu 610041, China
Shinohara N: Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto 606-8501, Japan [ORCID]
Liu C: College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China
Long Z: Chengdu Research Center, Huawei Technologies Co., Ltd., Chengdu 610041, China
Shinohara N: Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto 606-8501, Japan [ORCID]
Liu C: College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China
Journal Name
Processes
Volume
10
Issue
4
First Page
708
Year
2022
Publication Date
2022-04-05
ISSN
2227-9717
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Original Submission
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PII: pr10040708, Publication Type: Journal Article
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LAPSE:2023.2588
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https://doi.org/10.3390/pr10040708
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Feb 21, 2023
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Feb 21, 2023
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