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Few-Mode Fiber Characterization System Based on the Spatially and Spectrally Imaging Technique †

With the widespread use of few-mode fibers, mode characteristics testing becomes essential. In this paper, current few-mode fiber testing techniques are discussed, and the S(2) imaging technique is chosen and demonstrated to be capable of few-mode fiber characterization in principle. As a result, th...

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Detalles Bibliográficos
Autores principales: Yu, Jianxun, Tan, Fengze, Yu, Changyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914624/
https://www.ncbi.nlm.nih.gov/pubmed/35270956
http://dx.doi.org/10.3390/s22051809
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author Yu, Jianxun
Tan, Fengze
Yu, Changyuan
author_facet Yu, Jianxun
Tan, Fengze
Yu, Changyuan
author_sort Yu, Jianxun
collection PubMed
description With the widespread use of few-mode fibers, mode characteristics testing becomes essential. In this paper, current few-mode fiber testing techniques are discussed, and the S(2) imaging technique is chosen and demonstrated to be capable of few-mode fiber characterization in principle. As a result, the few-mode fiber characterization system with the S(2) imaging technique is built and used to obtain accurate mode dispersion of two-mode fibers (a commonly used few-mode fiber) of different lengths. Then, various filters are applied to extract the fundamental and high-order modes to acquire mode coupling components (discrete and distributed mode coupling). The proposed system spectrally characterizes the few-mode fiber by resolving the interference information from the superimposed optical field spatially and has a simple structure and easy operation, which will provide parameter guidance for FMF designing and the FMF sensing experiment optimizing.
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spelling pubmed-89146242022-03-12 Few-Mode Fiber Characterization System Based on the Spatially and Spectrally Imaging Technique † Yu, Jianxun Tan, Fengze Yu, Changyuan Sensors (Basel) Article With the widespread use of few-mode fibers, mode characteristics testing becomes essential. In this paper, current few-mode fiber testing techniques are discussed, and the S(2) imaging technique is chosen and demonstrated to be capable of few-mode fiber characterization in principle. As a result, the few-mode fiber characterization system with the S(2) imaging technique is built and used to obtain accurate mode dispersion of two-mode fibers (a commonly used few-mode fiber) of different lengths. Then, various filters are applied to extract the fundamental and high-order modes to acquire mode coupling components (discrete and distributed mode coupling). The proposed system spectrally characterizes the few-mode fiber by resolving the interference information from the superimposed optical field spatially and has a simple structure and easy operation, which will provide parameter guidance for FMF designing and the FMF sensing experiment optimizing. MDPI 2022-02-25 /pmc/articles/PMC8914624/ /pubmed/35270956 http://dx.doi.org/10.3390/s22051809 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Jianxun
Tan, Fengze
Yu, Changyuan
Few-Mode Fiber Characterization System Based on the Spatially and Spectrally Imaging Technique †
title Few-Mode Fiber Characterization System Based on the Spatially and Spectrally Imaging Technique †
title_full Few-Mode Fiber Characterization System Based on the Spatially and Spectrally Imaging Technique †
title_fullStr Few-Mode Fiber Characterization System Based on the Spatially and Spectrally Imaging Technique †
title_full_unstemmed Few-Mode Fiber Characterization System Based on the Spatially and Spectrally Imaging Technique †
title_short Few-Mode Fiber Characterization System Based on the Spatially and Spectrally Imaging Technique †
title_sort few-mode fiber characterization system based on the spatially and spectrally imaging technique †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914624/
https://www.ncbi.nlm.nih.gov/pubmed/35270956
http://dx.doi.org/10.3390/s22051809
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