Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2023 > W2B > W2B.20

Accurate Extraction of Brillouin Frequency Shift using Single Deep Neural Network in BOTDA Sensing System with Non-Local Effect

Yuhao Qian, Guijiang Yang, Keyan Zeng, Liang Wang, Ming Tang, and Deming Liu

Not Accessible

Your library or personal account may give you access

Abstract

A single DNN model has been developed for accurate extraction of both Brillouin frequency shift without and with NLE. The scheme is practical and greatly improves the system tolerance to NLE without any hardware modification.

© 2023 The Author(s)

PDF Article
More Like This
Extraction of Temperature Distribution Using Deep Neural Networks for BOTDA Sensing System

Biwei Wang, Nan Guo, Faisal Nadeem Khan, Abul Kalam Azad, Liang Wang, Changyuan Yu, and Chao Lu
s2027 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2017

Simultaneous Temperature and Strain Measurement Using Deep Neural Networks for BOTDA Sensing System

Biwei Wang, Liang Wang, Changyuan Yu, and Chao Lu
Th2A.66 Optical Fiber Communication Conference (OFC) 2018

Fast Brillouin frequency shift measurement by zero-crossing point search in the virtually composed spectra of Brillouin gain and loss

Hayato Nonogaki, Daichi Sei, Mohd Saiful Dzulkefly Bin Zan, and Yosuke Tanaka
Tu3.85 Optical Fiber Sensors (OFS) 2023

View More...

Poster Presentation

Media 1: PDF (651 KB)     
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use