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

Conference Paper (2022)
Author(s)

P.B.J. de Koster (TU Delft - Team Sander Wahls)

Jonas Koch (Christian-Albrechts-Universität zu Kiel)

Olaf Schulz (Christian-Albrechts-University)

Stephan Pachnicke (Christian-Albrechts-University)

Sander Wahls (TU Delft - Team Sander Wahls)

Research Group
Team Sander Wahls
Copyright
© 2022 P.B.J. de Koster, Jonas Koch, Olaf Schulz, Stephan Pachnicke, S. Wahls
DOI related publication
https://doi.org/10.1364/OFC.2022.W2A.39
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 P.B.J. de Koster, Jonas Koch, Olaf Schulz, Stephan Pachnicke, S. Wahls
Research Group
Team Sander Wahls
ISBN (electronic)
978-1-55752-466-9
Reuse Rights

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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.

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