Deep Learning Assisted Pre-Carrier Phase Recovery EVM Estimation for Coherent Transmission Systems
Paper in proceeding, 2021
We exploit deep supervised learning and amplitude histograms of coherent optical signals captured before carrier phase recovery (CPR) to perform time-sensitive and accurate error vector magnitude (EVM) estimation for 32 Gbaud mQAM signal monitoring purposes.
Author
Yuchuan Fan
Royal Institute of Technology (KTH)
RISE Research Institutes of Sweden
Aleksejs Udalcovs
RISE Research Institutes of Sweden
Xiaodan Pang
Royal Institute of Technology (KTH)
RISE Research Institutes of Sweden
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Richard Schatz
Royal Institute of Technology (KTH)
Marija Furdek Prekratic
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Sergei Popov
Royal Institute of Technology (KTH)
Oskars Ozolins
Royal Institute of Technology (KTH)
RISE Research Institutes of Sweden
2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
paper STh1F.2
9781557528209 (ISBN)
Conference on Lasers and Electro-Optics
San Jose, CA, USA,
San Jose, CA, USA,
Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
Communication Systems
Signal Processing
DOI
10.1364/CLEO_SI.2021.STh1F.2
ISBN
9781943580910