Identifying the Optical Fiber Based on the Compact OFDR System via Reflecting Estimation

IF 5.6 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Zheyi Yao;Zhentao Song;Guohua Gu;Qian Chen;Shenghang Zhou;Xiubao Sui
{"title":"Identifying the Optical Fiber Based on the Compact OFDR System via Reflecting Estimation","authors":"Zheyi Yao;Zhentao Song;Guohua Gu;Qian Chen;Shenghang Zhou;Xiubao Sui","doi":"10.1109/TIM.2024.3413156","DOIUrl":null,"url":null,"abstract":"This article reports an effective, robust, and universal estimating method to enhance and maintain the measuring accuracy for the semiconductor laser (SCL)-based optical frequency-domain reflectometry (OFDR) by estimating the reflecting locations. The core is to build the bridge between the limited data sampling rate and almost continued real values, providing the potential strategy for high-resolution fiber sensing without the modulated optical fibers. The experiments demonstrate that the described method can be effectively applied to a range of applicating areas, resulting in the millimeter-level optical fiber subset identifying with an error equal rate (EER) of less than 1%.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":null,"pages":null},"PeriodicalIF":5.6000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Instrumentation and Measurement","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10735790/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

This article reports an effective, robust, and universal estimating method to enhance and maintain the measuring accuracy for the semiconductor laser (SCL)-based optical frequency-domain reflectometry (OFDR) by estimating the reflecting locations. The core is to build the bridge between the limited data sampling rate and almost continued real values, providing the potential strategy for high-resolution fiber sensing without the modulated optical fibers. The experiments demonstrate that the described method can be effectively applied to a range of applicating areas, resulting in the millimeter-level optical fiber subset identifying with an error equal rate (EER) of less than 1%.
通过反射估计识别基于紧凑型 OFDR 系统的光纤
本文报告了一种有效、稳健、通用的估算方法,通过估算反射位置,提高并保持基于半导体激光器(SCL)的光频域反射仪(OFDR)的测量精度。其核心是在有限的数据采样率和几乎持续的真实值之间架起一座桥梁,为无需调制光纤的高分辨率光纤传感提供潜在策略。实验证明,所述方法可有效应用于一系列应用领域,从而实现毫米级光纤子集识别,误差相等率(EER)小于 1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信