Abstract
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 The Author(s)
PDF ArticleMore Like This
Hou-Man Chin, Adnan A.E. Hajomer, Nitin Jain, Ulrik L. Andersen, and Tobias Gehring
Th3J.2 Optical Fiber Communication Conference (OFC) 2023
Xiangyu Yang, Du Tang, Zhen Wu, and Yaojun Qiao
T4A.114 Asia Communications and Photonics Conference (ACP) 2021
Shengxiang Zhu, Craig Gutterman, Alan Diaz Montiel, Jiakai Yu, Marco Ruffini, Gil Zussman, and Daniel Kilper
T4B.4 Optical Fiber Communication Conference (OFC) 2020