High-Precision Measurement of Brillouin Frequency Shift in Brillouin Optical Time-Domain Reflectometer Based on Half-Peak Fitting Algorithm of Power Spectrum
Author:
Affiliation:
1. State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10075439.pdf?arnumber=10075439
Reference20 articles.
1. Application of the joint algorithm of smooth pseudo Wigner-Ville distribution and four-parameter particle swarm optimization to BOTDR
2. A feature extraction method of the particle swarm optimization algorithm based on adaptive inertia weight and chaos optimization for Brillouin scattering spectra
3. Wavelet convolutional neural network for robust and fast temperature measurements in Brillouin optical time domain reflectometry
4. Improving the Brillouin frequency shift measurement resolution in the Brillouin optical time domain reflectometry (BOTDR) fiber sensor by artificial neural network (ANN)
5. Brillouin gain spectrum characterization in single-mode optical fibers
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1. Brillouin frequency shift extraction by bidirectional integration of Brillouin gain spectrum;Optical Fiber Technology;2024-01
2. Brillouin Frequency Shift Extraction by Bidirectional Integration of Brillouin Gain Spectrum;2023
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