Field-Enhanced Filtering in MIMO Learned Volterra Nonlinear Equalisation of Multi-Wavelength Systems
<|reference_start|>Field-Enhanced Filtering in MIMO Learned Volterra Nonlinear Equalisation of Multi-Wavelength Systems: 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.<|reference_end|>
@article{castro2024field-enhanced,
    title={Field-Enhanced Filtering in MIMO Learned Volterra Nonlinear Equalisation
  of Multi-Wavelength Systems},
    author={Nelson Castro, Sonia Boscolo, Andrew D. Ellis, Stylianos Sygletos},
    journal={arXiv preprint arXiv:2407.07705},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.07705},
    primaryClass={cs.IT cs.LG eess.SP math.IT}
}