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,

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1364/CLEO_SI.2021.STh1F.2

ISBN

9781943580910

More information

Latest update

9/22/2022