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Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
January 25, 2020 Β· Declared Dead Β· π Optical Fiber Communications Conference and Exhibition
"No code URL or promise found in abstract"
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Authors
Christian HΓ€ger, Henry D. Pfister, Rick M. BΓΌtler, Gabriele Liga, Alex Alvarado
arXiv ID
2001.09277
Category
eess.SP: Signal Processing
Cross-listed
cs.IT,
cs.LG,
stat.ML
Citations
32
Venue
Optical Fiber Communications Conference and Exhibition
Last Checked
6 months ago
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.
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