Optimized ANN training strategy for fast and accurate fiber Brillouin frequency shift calculation

Yongxin Liang; Richeng Zhu; Zinan Wang; Zinan Wang

Asia Communications and Photonics Conference (ACP) 2018
OSA Technical Digest (Optica Publishing Group, 2018),
paper Su2A.264

Optimized ANN training strategy for fast and accurate fiber Brillouin frequency shift calculation

Yongxin Liang, Richeng Zhu, and Zinan Wang

Asia Communications and Photonics Conference 2018

Hangzhou China
26–29 October 2018
ISBN: 978-1-5386-6158-1

From the session
Poster Session (Su2A)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
Y. Liang, R. Zhu, and Z. Wang, "Optimized ANN training strategy for fast and accurate fiber Brillouin frequency shift calculation," in Asia Communications and Photonics Conference (ACP) 2018, OSA Technical Digest (Optica Publishing Group, 2018), paper Su2A.264.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Save article

Abstract

ANN has been applied to replace the time-consuming process that using LCF to obtain BFS in BOTDA recently. We demonstrate that it is extremely important to add noise to simulated BGS during the training process.

PDF Article

More Like This

Fast estimation of Brillouin frequency shift in the BOTDA Sensors

Xingyun Zhang, Xiaobin Hong, Xizi Sun, Sheng Wang, and Jian Wu
WF18 Optical Fiber Sensors (OFS) 2018

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

Fast Measurement of Brillouin Frequency Shift in Fiber Based on Principal Components Analysis

Xiao Fen, Lv Mingxing, and Li Xinwan
W2D.6 Optoelectronics and Communications Conference (OECC) 2021

Previous Article Next Article