ML-Enhanced Digital Backpropagation for Long-Reach Single-Span Systems

Published 27 Jan 2026 in eess.SP | (2601.19457v1)

Abstract: 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.

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