Experimental validation of nonlinear Fourier transform-based Kerr-nonlinearity identification over a 1600 km 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-Universität zu Kiel)
Stephan Pachnicke (Christian-Albrechts-Universität zu Kiel)
Sander Wahls (TU Delft - Team Sander Wahls)
Research Group
Team Sander Wahls
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https://resolver.tudelft.nl/uuid:ed245013-eddd-4f3b-b2af-4b12c011fc9c
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Publication Year
2022
Language
English
Research Group
Team Sander Wahls
ISBN (electronic)
978-1-5575-2820-9
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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