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
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.
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