Field-Enhanced Filtering in MIMO Learned Volterra Nonlinear Equalisation of Multi-Wavelength Systems

Autor:	Castro, Nelson, Boscolo, Sonia, Ellis, Andrew D., Sygletos, Stylianos
Rok vydání:	2024
Předmět:	Computer Science - Information Theory Computer Science - Machine Learning Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	We propose a novel MIMO-WDM Volterra-based nonlinear-equalisation scheme with adaptive time-domain nonlinear stages enhanced by filtering in both the power and optical signal waveforms. This approach efficiently captures the interplay between dispersion and non-linearity in each step, leading to $46\%$ complexity reduction for $9\times 9$-MIMO operation. Comment: Submitted to the ECOC 2024 conference
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2407.07705 Zobrazit plný text záznamu View this record from Arxiv