Experimental validation of nonlinear Fourier transform-based Kerr-nonlinearity identification over a 1600 km SSMF link

Conference paper (2022)

Authors

P.B.J. de Koster Team Sander Wahls - Mechanical, Maritime and Materials Engineering
Jonas Koch Christian-Albrechts-Universität zu Kiel
Olaf Schulz Christian-Albrechts-Universität zu Kiel
Stephan Pachnicke Christian-Albrechts-Universität zu Kiel
S. Wahls Team Sander Wahls - Mechanical, Maritime and Materials Engineering
Research Group
Team Sander Wahls (Mechanical, Maritime and Materials Engineering) (TU Delft)
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Sander Wahls

Abstract

Recently, a nonlinear Fourier transform-based Kerr-nonlinearity identification algorithm was demonstrated for a 1000 km NZDSF link with accuracy of 75%. Here, we demonstrate an accuracy of 99% over 1600 km SSMF. Reasons for improved accuracy are discussed.