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

01/25/2020

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by Christian Häger, et al.

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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.

Christian Häger
23 publications
Henry D. Pfister
32 publications
Rick M. Bütler
2 publications
Gabriele Liga
12 publications
Alex Alvarado
32 publications

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