ML-Enhanced Digital Backpropagation for Long-Reach Single-Span Systems
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1866914283632197632 |
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| author | Cellini, Dario Civelli, Stella Secondini, Marco |
| author_facet | Cellini, Dario Civelli, Stella Secondini, Marco |
| contents | We propose a digital backpropagation method that employs machine-learning-aided joint optimization of dispersion step lengths and nonlinear phase rotation filters within an FFT-based enhanced split-step Fourier structure, achieving improved accuracy at low computational complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_19457 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | ML-Enhanced Digital Backpropagation for Long-Reach Single-Span Systems Cellini, Dario Civelli, Stella Secondini, Marco Signal Processing We propose a digital backpropagation method that employs machine-learning-aided joint optimization of dispersion step lengths and nonlinear phase rotation filters within an FFT-based enhanced split-step Fourier structure, achieving improved accuracy at low computational complexity. |
| title | ML-Enhanced Digital Backpropagation for Long-Reach Single-Span Systems |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2601.19457 |