Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
Paper in proceeding, 2020
We propose a model-based machine-learning approach for polarization-multiplexed systems by parameterizing the split-step method for the Manakov-PMD equation. This approach performs hardware-friendly DBP and distributed PMD compensation with performance close to the PMD-free case. © 2020 OSA.
Optical fibers
Transmissions
Nonlinearity mitigation
Author
Christian Häger
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Henry D. Pfister
Duke University
Rick M. Bütler
Eindhoven University of Technology
Gabriele Liga
Eindhoven University of Technology
Alex Alvarado
Eindhoven University of Technology
Optical Fiber Communication Conference (OFC) 2020
9082974
9781943580712 (ISBN)
Optical Fiber Communication Conference (OFC) 2020
San Diego, CA, USA,
San Diego, CA, USA,
Coding for terabit-per-second fiber-optical communications (TERA)
European Commission (EC) (EC/H2020/749798), 2017-01-01 -- 2019-12-31.
Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
Communication Systems
Signal Processing