Literature DB >> 24514710

Modeling and evaluating the performance of Brillouin distributed optical fiber sensors.

Marcelo A Soto, Luc Thévenaz.   

Abstract

A thorough analysis of the key factors impacting on the performance of Brillouin distributed optical fiber sensors is presented. An analytical expression is derived to estimate the error on the determination of the Brillouin peak gain frequency, based for the first time on real experimental conditions. This expression is experimentally validated, and describes how this frequency uncertainty depends on measurement parameters, such as Brillouin gain linewidth, frequency scanning step and signal-to-noise ratio. Based on the model leading to this expression and considering the limitations imposed by nonlinear effects and pump depletion, a figure-of-merit is proposed to fairly compare the performance of Brillouin distributed sensing systems. This figure-of-merit offers to the research community and to potential users the possibility to evaluate with an objective metric the real performance gain resulting from any proposed configuration.

Mesh:

Year:  2013        PMID: 24514710     DOI: 10.1364/OE.21.031347

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  15 in total

1.  Bi-Directional Brillouin Optical Time Domain Analyzer System for Long Range Distributed Sensing.

Authors:  Nan Guo; Liang Wang; Jie Wang; Chao Jin; Hwa-Yaw Tam; A Ping Zhang; Chao Lu
Journal:  Sensors (Basel)       Date:  2016-12-16       Impact factor: 3.576

2.  Brillouin Frequency Shift of Fiber Distributed Sensors Extracted from Noisy Signals by Quadratic Fitting.

Authors:  Hanrong Zheng; Zujie Fang; Zhaoyong Wang; Bin Lu; Yulong Cao; Qing Ye; Ronghui Qu; Haiwen Cai
Journal:  Sensors (Basel)       Date:  2018-01-31       Impact factor: 3.576

3.  Ultra-Long-Distance Hybrid BOTDA/Ф-OTDR.

Authors:  Yun Fu; Zinan Wang; Richeng Zhu; Naitian Xue; Jialin Jiang; Chongyu Lu; Bin Zhang; Le Yang; David Atubga; Yunjiang Rao
Journal:  Sensors (Basel)       Date:  2018-03-25       Impact factor: 3.576

4.  Optomechanical time-domain reflectometry.

Authors:  Gil Bashan; Hilel Hagai Diamandi; Yosef London; Eyal Preter; Avi Zadok
Journal:  Nat Commun       Date:  2018-07-31       Impact factor: 14.919

5.  Going beyond 1000000 resolved points in a Brillouin distributed fiber sensor: theoretical analysis and experimental demonstration.

Authors:  Andrey Denisov; Marcelo A Soto; Luc Thévenaz
Journal:  Light Sci Appl       Date:  2016-05-06       Impact factor: 17.782

6.  Distributed forward Brillouin sensor based on local light phase recovery.

Authors:  Desmond M Chow; Zhisheng Yang; Marcelo A Soto; Luc Thévenaz
Journal:  Nat Commun       Date:  2018-07-31       Impact factor: 14.919

7.  Genetic-optimised aperiodic code for distributed optical fibre sensors.

Authors:  Xizi Sun; Zhisheng Yang; Xiaobin Hong; Simon Zaslawski; Sheng Wang; Marcelo A Soto; Xia Gao; Jian Wu; Luc Thévenaz
Journal:  Nat Commun       Date:  2020-11-13       Impact factor: 14.919

8.  Improvement of Performance for Raman Assisted BOTDR by Analyzing Brillouin Gain Spectrum.

Authors:  Qiang Huang; Junqiang Sun; Wenting Jiao; Li Kai
Journal:  Sensors (Basel)       Date:  2021-12-24       Impact factor: 3.576

9.  Brillouin Optical Correlation Domain Analysis in Composite Material Beams.

Authors:  Yonatan Stern; Yosef London; Eyal Preter; Yair Antman; Hilel Hagai Diamandi; Maayan Silbiger; Gadi Adler; Eyal Levenberg; Doron Shalev; Avi Zadok
Journal:  Sensors (Basel)       Date:  2017-10-02       Impact factor: 3.576

Review 10.  Benefits of Spectral Property Engineering in Distributed Brillouin Fiber Sensing.

Authors:  Cheng Feng; Thomas Schneider
Journal:  Sensors (Basel)       Date:  2021-03-08       Impact factor: 3.576

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