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Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing
In this article, we demonstrate the noise reduction and signal to noise ratio (SNR) enhancement in Brillouin optical time-domain analyzers (BOTDA). The results show that, although the main noise contribution comes from the Brillouin interaction itself, a simple low pass filtering on the detected rad...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651829/ https://www.ncbi.nlm.nih.gov/pubmed/31261717 http://dx.doi.org/10.3390/s19132878 |
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author | Feng, Cheng Preussler, Stefan Emad Kadum, Jaffar Schneider, Thomas |
author_facet | Feng, Cheng Preussler, Stefan Emad Kadum, Jaffar Schneider, Thomas |
author_sort | Feng, Cheng |
collection | PubMed |
description | In this article, we demonstrate the noise reduction and signal to noise ratio (SNR) enhancement in Brillouin optical time-domain analyzers (BOTDA). The results show that, although the main noise contribution comes from the Brillouin interaction itself, a simple low pass filtering on the detected radio frequency (RF) signal reduces remarkably the noise level of the BOTDA traces. The corresponding SNR enhancement depends on the employed cut-off frequency of the low pass filter. Due to the enhancement of the SNR, a mitigation of the standard deviation error of the Brillouin frequency shift (BFS) has been demonstrated. However, RF filters with low cut-off frequency could lead to distortions on the trace signals and therefore detection errors on a non-uniform BFS. The trade-off between the noise reduction and the signal distortion as well as an optimal cut-off frequency are discussed in detail. |
format | Online Article Text |
id | pubmed-6651829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66518292019-08-08 Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing Feng, Cheng Preussler, Stefan Emad Kadum, Jaffar Schneider, Thomas Sensors (Basel) Article In this article, we demonstrate the noise reduction and signal to noise ratio (SNR) enhancement in Brillouin optical time-domain analyzers (BOTDA). The results show that, although the main noise contribution comes from the Brillouin interaction itself, a simple low pass filtering on the detected radio frequency (RF) signal reduces remarkably the noise level of the BOTDA traces. The corresponding SNR enhancement depends on the employed cut-off frequency of the low pass filter. Due to the enhancement of the SNR, a mitigation of the standard deviation error of the Brillouin frequency shift (BFS) has been demonstrated. However, RF filters with low cut-off frequency could lead to distortions on the trace signals and therefore detection errors on a non-uniform BFS. The trade-off between the noise reduction and the signal distortion as well as an optimal cut-off frequency are discussed in detail. MDPI 2019-06-28 /pmc/articles/PMC6651829/ /pubmed/31261717 http://dx.doi.org/10.3390/s19132878 Text en © 2019 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 Feng, Cheng Preussler, Stefan Emad Kadum, Jaffar Schneider, Thomas Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing |
title | Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing |
title_full | Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing |
title_fullStr | Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing |
title_full_unstemmed | Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing |
title_short | Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing |
title_sort | measurement accuracy enhancement via radio frequency filtering in distributed brillouin sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651829/ https://www.ncbi.nlm.nih.gov/pubmed/31261717 http://dx.doi.org/10.3390/s19132878 |
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