Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
Backpropagation
DOI:
10.1364/ofc.2020.w3d.3
Publication Date:
2020-03-06T14:29:09Z
AUTHORS (5)
ABSTRACT
We propose a model-based machine-learning approach for polarization-multiplexed systems by parameterizing the split-step method Manakov-PMD equation. This performs hardware-friendly DBP and distributed PMD compensation with performance close to PMD-free case.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (25)
CITATIONS (8)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....