Cargando…
Investigation of a Signal Demodulation Method based on Wavelet Transformation for OFDR to Enhance Its Distributed Sensing Performance
Optical fiber distributed sensing that is based on optical frequency domain reflectometer (OFDR) is a promising technology for achieving a highest spatial resolution downwards to several millimeters. An OFDR signal demodulation method that is based on Morlet wavelet transformation (WT) is demonstrat...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651727/ https://www.ncbi.nlm.nih.gov/pubmed/31252538 http://dx.doi.org/10.3390/s19132850 |
_version_ | 1783438414330200064 |
---|---|
author | Feng, Kunpeng Cui, Jiwen Dang, Hong Sun, Xun Jiang, Dong Jin, Yihua Niu, Yizhao Zhang, Xuping |
author_facet | Feng, Kunpeng Cui, Jiwen Dang, Hong Sun, Xun Jiang, Dong Jin, Yihua Niu, Yizhao Zhang, Xuping |
author_sort | Feng, Kunpeng |
collection | PubMed |
description | Optical fiber distributed sensing that is based on optical frequency domain reflectometer (OFDR) is a promising technology for achieving a highest spatial resolution downwards to several millimeters. An OFDR signal demodulation method that is based on Morlet wavelet transformation (WT) is demonstrated in detail to improve the resolution of distributed sensing physical quantity under a high spatial resolution, aiming at the trade-off between spatial and spectrum resolution. The spectrum resolution, spatial interval of the measured gauges, and spatial resolution can be manually controlled by adjusting the wavelet parameters. The experimental results that were achieved by the wavelet transformation (WT) method are compared with these by short time Fourier transformation (STFT) method and they indicate that significant improvements, such as strain resolution of 1 με, spatial resolution of 5 mm, average repeatability of 4.3 με, and stability of 7.3 με within one hour, have been achieved. The advantages of this method are high spatial and spectral resolution, robust, and applicability with current OFDR systems. |
format | Online Article Text |
id | pubmed-6651727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66517272019-08-08 Investigation of a Signal Demodulation Method based on Wavelet Transformation for OFDR to Enhance Its Distributed Sensing Performance Feng, Kunpeng Cui, Jiwen Dang, Hong Sun, Xun Jiang, Dong Jin, Yihua Niu, Yizhao Zhang, Xuping Sensors (Basel) Article Optical fiber distributed sensing that is based on optical frequency domain reflectometer (OFDR) is a promising technology for achieving a highest spatial resolution downwards to several millimeters. An OFDR signal demodulation method that is based on Morlet wavelet transformation (WT) is demonstrated in detail to improve the resolution of distributed sensing physical quantity under a high spatial resolution, aiming at the trade-off between spatial and spectrum resolution. The spectrum resolution, spatial interval of the measured gauges, and spatial resolution can be manually controlled by adjusting the wavelet parameters. The experimental results that were achieved by the wavelet transformation (WT) method are compared with these by short time Fourier transformation (STFT) method and they indicate that significant improvements, such as strain resolution of 1 με, spatial resolution of 5 mm, average repeatability of 4.3 με, and stability of 7.3 με within one hour, have been achieved. The advantages of this method are high spatial and spectral resolution, robust, and applicability with current OFDR systems. MDPI 2019-06-27 /pmc/articles/PMC6651727/ /pubmed/31252538 http://dx.doi.org/10.3390/s19132850 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, Kunpeng Cui, Jiwen Dang, Hong Sun, Xun Jiang, Dong Jin, Yihua Niu, Yizhao Zhang, Xuping Investigation of a Signal Demodulation Method based on Wavelet Transformation for OFDR to Enhance Its Distributed Sensing Performance |
title | Investigation of a Signal Demodulation Method based on Wavelet Transformation for OFDR to Enhance Its Distributed Sensing Performance |
title_full | Investigation of a Signal Demodulation Method based on Wavelet Transformation for OFDR to Enhance Its Distributed Sensing Performance |
title_fullStr | Investigation of a Signal Demodulation Method based on Wavelet Transformation for OFDR to Enhance Its Distributed Sensing Performance |
title_full_unstemmed | Investigation of a Signal Demodulation Method based on Wavelet Transformation for OFDR to Enhance Its Distributed Sensing Performance |
title_short | Investigation of a Signal Demodulation Method based on Wavelet Transformation for OFDR to Enhance Its Distributed Sensing Performance |
title_sort | investigation of a signal demodulation method based on wavelet transformation for ofdr to enhance its distributed sensing performance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651727/ https://www.ncbi.nlm.nih.gov/pubmed/31252538 http://dx.doi.org/10.3390/s19132850 |
work_keys_str_mv | AT fengkunpeng investigationofasignaldemodulationmethodbasedonwavelettransformationforofdrtoenhanceitsdistributedsensingperformance AT cuijiwen investigationofasignaldemodulationmethodbasedonwavelettransformationforofdrtoenhanceitsdistributedsensingperformance AT danghong investigationofasignaldemodulationmethodbasedonwavelettransformationforofdrtoenhanceitsdistributedsensingperformance AT sunxun investigationofasignaldemodulationmethodbasedonwavelettransformationforofdrtoenhanceitsdistributedsensingperformance AT jiangdong investigationofasignaldemodulationmethodbasedonwavelettransformationforofdrtoenhanceitsdistributedsensingperformance AT jinyihua investigationofasignaldemodulationmethodbasedonwavelettransformationforofdrtoenhanceitsdistributedsensingperformance AT niuyizhao investigationofasignaldemodulationmethodbasedonwavelettransformationforofdrtoenhanceitsdistributedsensingperformance AT zhangxuping investigationofasignaldemodulationmethodbasedonwavelettransformationforofdrtoenhanceitsdistributedsensingperformance |