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

arXiv: https://arxiv.org/abs/2407.07705 · HTML: https://mlsanity.com/paper/2407.07705/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 14 references that are in the map.
- First posted on arXiv 23 Jun 2024.

## Builds on (most cited first, 1 of 1)

- [Physics-Based Deep Learning for Fiber-Optic Communication Systems](https://mlsanity.com/paper/2010.14258/) (2020)

## Abstract (arXiv)

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× 9-MIMO operation.