Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems

Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques, e.g., feedforward neural networks (FFNNs) -based EVM estimation scheme leverage fast signal quality monitoring in coherent optical c...

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Bibliographic Details
Main Authors: Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs, Carlos Natalino, Lu Zhang, Sandis Spolitis, Vjaceslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergei Popov, Oskars Ozolins
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Photonics Journal
Subjects:
Deep learning
error vector magnitude
machine learning
optical fiber communication
optical performance monitoring
Online Access:https://ieeexplore.ieee.org/document/9839494/

Internet

https://ieeexplore.ieee.org/document/9839494/

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