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A 3D Model of the Thermoelectric Microwave Power Sensor by MEMS Technology
In this paper, a novel 3D model is proposed to describe the temperature distribution of the thermoelectric microwave power sensor. In this 3D model, the heat flux density decreases from the upper surface to the lower surface of the GaAs substrate while it was supposed to be a constant in the 2D mode...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934347/ https://www.ncbi.nlm.nih.gov/pubmed/27338395 http://dx.doi.org/10.3390/s16060921 |
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author | Yi, Zhenxiang Liao, Xiaoping |
author_facet | Yi, Zhenxiang Liao, Xiaoping |
author_sort | Yi, Zhenxiang |
collection | PubMed |
description | In this paper, a novel 3D model is proposed to describe the temperature distribution of the thermoelectric microwave power sensor. In this 3D model, the heat flux density decreases from the upper surface to the lower surface of the GaAs substrate while it was supposed to be a constant in the 2D model. The power sensor is fabricated by a GaAs monolithic microwave integrated circuit (MMIC) process and micro-electro-mechanical system (MEMS) technology. The microwave performance experiment shows that the S(11) is less than −26 dB over the frequency band of 1–10 GHz. The power response experiment demonstrates that the output voltage increases from 0 mV to 27 mV, while the incident power varies from 1 mW to 100 mW. The measured sensitivity is about 0.27 mV/mW, and the calculated result from the 3D model is 0.28 mV/mW. The relative error has been reduced from 7.5% of the 2D model to 3.7% of the 3D model. |
format | Online Article Text |
id | pubmed-4934347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-49343472016-07-06 A 3D Model of the Thermoelectric Microwave Power Sensor by MEMS Technology Yi, Zhenxiang Liao, Xiaoping Sensors (Basel) Article In this paper, a novel 3D model is proposed to describe the temperature distribution of the thermoelectric microwave power sensor. In this 3D model, the heat flux density decreases from the upper surface to the lower surface of the GaAs substrate while it was supposed to be a constant in the 2D model. The power sensor is fabricated by a GaAs monolithic microwave integrated circuit (MMIC) process and micro-electro-mechanical system (MEMS) technology. The microwave performance experiment shows that the S(11) is less than −26 dB over the frequency band of 1–10 GHz. The power response experiment demonstrates that the output voltage increases from 0 mV to 27 mV, while the incident power varies from 1 mW to 100 mW. The measured sensitivity is about 0.27 mV/mW, and the calculated result from the 3D model is 0.28 mV/mW. The relative error has been reduced from 7.5% of the 2D model to 3.7% of the 3D model. MDPI 2016-06-21 /pmc/articles/PMC4934347/ /pubmed/27338395 http://dx.doi.org/10.3390/s16060921 Text en © 2016 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yi, Zhenxiang Liao, Xiaoping A 3D Model of the Thermoelectric Microwave Power Sensor by MEMS Technology |
title | A 3D Model of the Thermoelectric Microwave Power Sensor by MEMS Technology |
title_full | A 3D Model of the Thermoelectric Microwave Power Sensor by MEMS Technology |
title_fullStr | A 3D Model of the Thermoelectric Microwave Power Sensor by MEMS Technology |
title_full_unstemmed | A 3D Model of the Thermoelectric Microwave Power Sensor by MEMS Technology |
title_short | A 3D Model of the Thermoelectric Microwave Power Sensor by MEMS Technology |
title_sort | 3d model of the thermoelectric microwave power sensor by mems technology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934347/ https://www.ncbi.nlm.nih.gov/pubmed/27338395 http://dx.doi.org/10.3390/s16060921 |
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