A Novel Detection Strategy for Nonlinear Frequency-Division Multiplexing
Stella Civelli, Enrico Forestieri, Marco Secondini

TL;DR
This paper introduces a new decision feedback detection method leveraging causality in the nonlinear Fourier transform, significantly enhancing performance in nonlinear frequency-division multiplexing systems.
Contribution
It presents a novel detection strategy that exploits causality in the nonlinear Fourier transform, offering improved performance over existing methods.
Findings
Notable increase in Q-factor performance.
Effective exploitation of causality property.
Outperforms previous detection strategies.
Abstract
A novel decision feedback detection strategy exploiting a causality property of the nonlinear Fourier transform is introduced. The novel strategy achieves a considerable performance improvement compared to previously adopted strategies in terms of Q-factor.
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