Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation


Journal Article

© 2020 OSA. 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.

Duke Authors

Cited Authors

  • Hager, C; Pfister, HD; Butler, RM; Liga, G; Alvarado, A

Published Date

  • March 1, 2020

Published In

  • 2020 Optical Fiber Communications Conference and Exhibition, Ofc 2020 Proceedings

Citation Source

  • Scopus