A Comparison of Linear Regression and Deep Learning Model for EVM Estimation in Coherent Optical Systems
Paper in proceeding, 2022
We experimentally investigate EVM estimation approaches based on linear regression and deep learning for 28 Gbaud coherent optical systems. We show that the estimation performances are comparable when the modulation format is known.
Author
Yuchuan Fan
Royal Institute of Technology (KTH)
RISE Research Institutes of Sweden
Xiaodan Pang
Royal Institute of Technology (KTH)
RISE Research Institutes of Sweden
Aleksejs Udalcovs
RISE Research Institutes of Sweden
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Lu Zhang
Zhejiang University
Sandis Spolitis
Riga Technical University
V. Bobrovs
Riga Technical University
Richard Schatz
Royal Institute of Technology (KTH)
Xianbin Yu
Zhejiang University
Marija Furdek Prekratic
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Sergei Popov
Royal Institute of Technology (KTH)
Oskars Ozolins
RISE Research Institutes of Sweden
Riga Technical University
Royal Institute of Technology (KTH)
Optics InfoBase Conference Papers
21622701 (eISSN)
9798350350012 (ISBN)
2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO/PR 2022
Sapporo, Japan,
Sapporo, Japan,
Subject Categories
Telecommunications
Control Engineering
DOI
10.1109/CLEO-PR62338.2022.10432177
ISBN
9798350350012