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An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration

The investigation depth of transient electromagnetic sensors can be effectively increased by reducing the system noise, which is mainly composed of sensor internal noise, electromagnetic interference (EMI), and environmental noise, etc. A high-sensitivity airborne transient electromagnetic (AEM) sen...

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Autores principales: Chen, Shudong, Guo, Shuxu, Wang, Haofeng, He, Miao, Liu, Xiaoyan, Qiu, Yu, Zhang, Shuang, Yuan, Zhiwen, Zhang, Haiyang, Fang, Dong, Zhu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298742/
https://www.ncbi.nlm.nih.gov/pubmed/28106718
http://dx.doi.org/10.3390/s17010169
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author Chen, Shudong
Guo, Shuxu
Wang, Haofeng
He, Miao
Liu, Xiaoyan
Qiu, Yu
Zhang, Shuang
Yuan, Zhiwen
Zhang, Haiyang
Fang, Dong
Zhu, Jun
author_facet Chen, Shudong
Guo, Shuxu
Wang, Haofeng
He, Miao
Liu, Xiaoyan
Qiu, Yu
Zhang, Shuang
Yuan, Zhiwen
Zhang, Haiyang
Fang, Dong
Zhu, Jun
author_sort Chen, Shudong
collection PubMed
description The investigation depth of transient electromagnetic sensors can be effectively increased by reducing the system noise, which is mainly composed of sensor internal noise, electromagnetic interference (EMI), and environmental noise, etc. A high-sensitivity airborne transient electromagnetic (AEM) sensor with low sensor internal noise and good shielding effectiveness is of great importance for deep penetration. In this article, the design and optimization of such an AEM sensor is described in detail. To reduce sensor internal noise, a noise model with both a damping resistor and a preamplifier is established and analyzed. The results indicate that a sensor with a large diameter, low resonant frequency, and low sampling rate will have lower sensor internal noise. To improve the electromagnetic compatibility of the sensor, an electromagnetic shielding model for a central-tapped coil is established and discussed in detail. Previous studies have shown that unclosed shields with multiple layers and center grounding can effectively suppress EMI and eddy currents. According to these studies, an improved differential AEM sensor is constructed with a diameter, resultant effective area, resonant frequency, and normalized equivalent input noise of 1.1 m, 114 m(2), 35.6 kHz, and 13.3 nV/m(2), respectively. The accuracy of the noise model and the shielding effectiveness of the sensor have been verified experimentally. The results show a good agreement between calculated and measured results for the sensor internal noise. Additionally, over 20 dB shielding effectiveness is achieved in a complex electromagnetic environment. All of these results show a great improvement in sensor internal noise and shielding effectiveness.
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spelling pubmed-52987422017-02-10 An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration Chen, Shudong Guo, Shuxu Wang, Haofeng He, Miao Liu, Xiaoyan Qiu, Yu Zhang, Shuang Yuan, Zhiwen Zhang, Haiyang Fang, Dong Zhu, Jun Sensors (Basel) Article The investigation depth of transient electromagnetic sensors can be effectively increased by reducing the system noise, which is mainly composed of sensor internal noise, electromagnetic interference (EMI), and environmental noise, etc. A high-sensitivity airborne transient electromagnetic (AEM) sensor with low sensor internal noise and good shielding effectiveness is of great importance for deep penetration. In this article, the design and optimization of such an AEM sensor is described in detail. To reduce sensor internal noise, a noise model with both a damping resistor and a preamplifier is established and analyzed. The results indicate that a sensor with a large diameter, low resonant frequency, and low sampling rate will have lower sensor internal noise. To improve the electromagnetic compatibility of the sensor, an electromagnetic shielding model for a central-tapped coil is established and discussed in detail. Previous studies have shown that unclosed shields with multiple layers and center grounding can effectively suppress EMI and eddy currents. According to these studies, an improved differential AEM sensor is constructed with a diameter, resultant effective area, resonant frequency, and normalized equivalent input noise of 1.1 m, 114 m(2), 35.6 kHz, and 13.3 nV/m(2), respectively. The accuracy of the noise model and the shielding effectiveness of the sensor have been verified experimentally. The results show a good agreement between calculated and measured results for the sensor internal noise. Additionally, over 20 dB shielding effectiveness is achieved in a complex electromagnetic environment. All of these results show a great improvement in sensor internal noise and shielding effectiveness. MDPI 2017-01-17 /pmc/articles/PMC5298742/ /pubmed/28106718 http://dx.doi.org/10.3390/s17010169 Text en © 2017 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
Chen, Shudong
Guo, Shuxu
Wang, Haofeng
He, Miao
Liu, Xiaoyan
Qiu, Yu
Zhang, Shuang
Yuan, Zhiwen
Zhang, Haiyang
Fang, Dong
Zhu, Jun
An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration
title An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration
title_full An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration
title_fullStr An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration
title_full_unstemmed An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration
title_short An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration
title_sort improved high-sensitivity airborne transient electromagnetic sensor for deep penetration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298742/
https://www.ncbi.nlm.nih.gov/pubmed/28106718
http://dx.doi.org/10.3390/s17010169
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