A Comparison of Linear Regression and Deep Learning Model for EVM Estimation in Coherent Optical Systems
Paper i 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.
Författare
Yuchuan Fan
Kungliga Tekniska Högskolan (KTH)
RISE Research Institutes of Sweden
Xiaodan Pang
Kungliga Tekniska Högskolan (KTH)
RISE Research Institutes of Sweden
Aleksejs Udalcovs
RISE Research Institutes of Sweden
Carlos Natalino Da Silva
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Lu Zhang
Zhejiang University
Sandis Spolitis
Riga Technical University
V. Bobrovs
Riga Technical University
Richard Schatz
Kungliga Tekniska Högskolan (KTH)
Xianbin Yu
Zhejiang University
Marija Furdek Prekratic
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Sergei Popov
Kungliga Tekniska Högskolan (KTH)
Oskars Ozolins
RISE Research Institutes of Sweden
Riga Technical University
Kungliga Tekniska Högskolan (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,
Ämneskategorier
Telekommunikation
Reglerteknik
DOI
10.1109/CLEO-PR62338.2022.10432177
ISBN
9798350350012