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Random Fiber Grating Characterization Based on OFDR and Transfer Matrix Method

Random fiber gratings (RFGs) have shown great potential applications in fiber sensing and random fiber lasers. However, a quantitative relationship between the degree of randomness of the RFG and its spectral response has never been analyzed. In this paper, two RFGs with different degrees of randomn...

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Autores principales: Zhou, Zichao, Chen, Chen, Lu, Ping, Mihailov, Stephen, Chen, Liang, Bao, Xiaoyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662957/
https://www.ncbi.nlm.nih.gov/pubmed/33114512
http://dx.doi.org/10.3390/s20216071
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author Zhou, Zichao
Chen, Chen
Lu, Ping
Mihailov, Stephen
Chen, Liang
Bao, Xiaoyi
author_facet Zhou, Zichao
Chen, Chen
Lu, Ping
Mihailov, Stephen
Chen, Liang
Bao, Xiaoyi
author_sort Zhou, Zichao
collection PubMed
description Random fiber gratings (RFGs) have shown great potential applications in fiber sensing and random fiber lasers. However, a quantitative relationship between the degree of randomness of the RFG and its spectral response has never been analyzed. In this paper, two RFGs with different degrees of randomness are first characterized experimentally by optical frequency domain reflectometry (OFDR). Experimental results show that the high degree of randomness leads to low backscattering strength of the grating and strong strength fluctuations in the spatial domain. The local spectral response of the grating exhibits multiple peaks and a large peak wavelength variation range when its degree of randomness is high. The linewidth of its fine spectrum structures shows scaling behavior with the grating length. In order to find a quantitative relationship between the degree of randomness and spectrum property of RFG, entropy was introduced to describe the degree of randomness induced by period variation of the sub-grating. Simulation results showed that the average reflectivity of the RFG in dB scale decreased linearly with increased sub-grating entropy, when the measured wavelength range was smaller than the peak wavelength variation range of the sub-grating. The peak reflectivity of the RFG was determined by [Formula: see text] (where [Formula: see text] is the coupling coefficient, [Formula: see text] is the grating length, [Formula: see text] is period variation range of the sub-grating) rather than [Formula: see text] when [Formula: see text] is larger than 8 nm in the spatial domain. The experimental results agree well with the simulation results, which helps to optimize the RFG manufacturing processes for future applications in random fiber lasers and sensors.
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spelling pubmed-76629572020-11-14 Random Fiber Grating Characterization Based on OFDR and Transfer Matrix Method Zhou, Zichao Chen, Chen Lu, Ping Mihailov, Stephen Chen, Liang Bao, Xiaoyi Sensors (Basel) Article Random fiber gratings (RFGs) have shown great potential applications in fiber sensing and random fiber lasers. However, a quantitative relationship between the degree of randomness of the RFG and its spectral response has never been analyzed. In this paper, two RFGs with different degrees of randomness are first characterized experimentally by optical frequency domain reflectometry (OFDR). Experimental results show that the high degree of randomness leads to low backscattering strength of the grating and strong strength fluctuations in the spatial domain. The local spectral response of the grating exhibits multiple peaks and a large peak wavelength variation range when its degree of randomness is high. The linewidth of its fine spectrum structures shows scaling behavior with the grating length. In order to find a quantitative relationship between the degree of randomness and spectrum property of RFG, entropy was introduced to describe the degree of randomness induced by period variation of the sub-grating. Simulation results showed that the average reflectivity of the RFG in dB scale decreased linearly with increased sub-grating entropy, when the measured wavelength range was smaller than the peak wavelength variation range of the sub-grating. The peak reflectivity of the RFG was determined by [Formula: see text] (where [Formula: see text] is the coupling coefficient, [Formula: see text] is the grating length, [Formula: see text] is period variation range of the sub-grating) rather than [Formula: see text] when [Formula: see text] is larger than 8 nm in the spatial domain. The experimental results agree well with the simulation results, which helps to optimize the RFG manufacturing processes for future applications in random fiber lasers and sensors. MDPI 2020-10-26 /pmc/articles/PMC7662957/ /pubmed/33114512 http://dx.doi.org/10.3390/s20216071 Text en © 2020 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
Zhou, Zichao
Chen, Chen
Lu, Ping
Mihailov, Stephen
Chen, Liang
Bao, Xiaoyi
Random Fiber Grating Characterization Based on OFDR and Transfer Matrix Method
title Random Fiber Grating Characterization Based on OFDR and Transfer Matrix Method
title_full Random Fiber Grating Characterization Based on OFDR and Transfer Matrix Method
title_fullStr Random Fiber Grating Characterization Based on OFDR and Transfer Matrix Method
title_full_unstemmed Random Fiber Grating Characterization Based on OFDR and Transfer Matrix Method
title_short Random Fiber Grating Characterization Based on OFDR and Transfer Matrix Method
title_sort random fiber grating characterization based on ofdr and transfer matrix method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662957/
https://www.ncbi.nlm.nih.gov/pubmed/33114512
http://dx.doi.org/10.3390/s20216071
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