Robust Vector BOTDA Signal Processing with Probabilistic Machine Learning

Robust Vector BOTDA Signal Processing with Probabilistic Machine Learning

This paper presents a novel probabilistic machine learning (PML) framework to estimate the Brillouin frequency shift (BFS) from both Brillouin gain and phase spectra of a vector Brillouin optical time-domain analysis (VBOTDA). The PML framework is used to predict the Brillouin frequency shift (BFS)...

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Bibliographic Details
Main Authors: Abhishek Venketeswaran, Nageswara Lalam, Ping Lu, Sandeep R. Bukka, Michael P. Buric, Ruishu Wright
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
optical fiber sensors
data analytics
deep neural networks
distributed fiber sensors
sensor data
Online Access:https://www.mdpi.com/1424-8220/23/13/6064

Internet

https://www.mdpi.com/1424-8220/23/13/6064

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