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电磁差分测量方法:在微带传感器开发中的应用。

Electromagnetic Differential Measuring Method: Application in Microstrip Sensors Developing.

作者信息

Ferrández-Pastor Francisco Javier, García-Chamizo Juan Manuel, Nieto-Hidalgo Mario

机构信息

Department of Computer Technology, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain.

出版信息

Sensors (Basel). 2017 Jul 18;17(7):1650. doi: 10.3390/s17071650.

DOI:10.3390/s17071650
PMID:28718804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5539693/
Abstract

Electromagnetic radiation is energy that interacts with matter. The interaction process is of great importance to the sensing applications that characterize material media. Parameters like constant dielectric represent matter characteristics and they are identified using emission, interaction and reception of electromagnetic radiation in adapted environmental conditions. How the electromagnetic wave responds when it interacts with the material media depends on the range of frequency used and the medium parameters. Different disciplines use this interaction and provides non-intrusive applications with clear benefits, remote sensing, earth sciences (geology, atmosphere, hydrosphere), biological or medical disciplines use this interaction and provides non-intrusive applications with clear benefits. Electromagnetic waves are transmitted and analyzed in the receiver to determine the interaction produced. In this work a method based in differential measurement technique is proposed as a novel way of detecting and characterizing electromagnetic matter characteristics using sensors based on a microstrip patch. The experimental results, based on simulations, show that it is possible to obtain benefits from the behavior of the wave-medium interaction using differential measurement on reception of electromagnetic waves at different frequencies or environmental conditions. Differential method introduce advantages in measure processes and promote new sensors development. A new microstrip sensor that uses differential time measures is proposed to show the possibilities of this method.

摘要

电磁辐射是与物质相互作用的能量。这种相互作用过程对于表征材料介质的传感应用非常重要。诸如介电常数等参数代表物质特性,它们是在合适的环境条件下通过电磁辐射的发射、相互作用和接收来识别的。当电磁波与材料介质相互作用时,其响应方式取决于所使用的频率范围和介质参数。不同学科利用这种相互作用,并提供具有明显优势的非侵入式应用,遥感、地球科学(地质学、大气科学、水圈科学)、生物学或医学学科都利用这种相互作用,并提供具有明显优势的非侵入式应用。电磁波在接收器中进行传输和分析,以确定产生的相互作用。在这项工作中,提出了一种基于差分测量技术的方法,作为一种使用基于微带贴片的传感器检测和表征电磁物质特性的新方法。基于模拟的实验结果表明,在不同频率或环境条件下接收电磁波时,利用差分测量从波 - 介质相互作用的行为中获得益处是可能的。差分方法在测量过程中具有优势,并推动了新型传感器的开发。提出了一种使用差分时间测量的新型微带传感器,以展示这种方法的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/ae9d3db36bff/sensors-17-01650-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/efdb57616670/sensors-17-01650-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/7640b0c49483/sensors-17-01650-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/db9797b50ef3/sensors-17-01650-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/19c3fe2ff044/sensors-17-01650-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/fa4eff97064e/sensors-17-01650-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/79caef63262b/sensors-17-01650-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/f8722e9f515c/sensors-17-01650-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/0a091f83f0c1/sensors-17-01650-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/236972c992fb/sensors-17-01650-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/ae9d3db36bff/sensors-17-01650-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/efdb57616670/sensors-17-01650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/e497e82334ea/sensors-17-01650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/f3aef4605ca4/sensors-17-01650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/2b97de0cbf1b/sensors-17-01650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/7640b0c49483/sensors-17-01650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/710df3970cb5/sensors-17-01650-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/db9797b50ef3/sensors-17-01650-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/0e272348d6d2/sensors-17-01650-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/19c3fe2ff044/sensors-17-01650-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/fa4eff97064e/sensors-17-01650-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/79caef63262b/sensors-17-01650-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/f8722e9f515c/sensors-17-01650-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/0a091f83f0c1/sensors-17-01650-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/236972c992fb/sensors-17-01650-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec42/5539693/ae9d3db36bff/sensors-17-01650-g015.jpg

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