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Conferences > OFC > 2019 > Th2A > Th2A.35

Reduction of nonlinear distortion in SOA-based wavelength conversion system by post-blind-compensation based on machine learning clustering

Yi Lin, Elias Giacoumidis, Sean O’Duill, Aravind P. Anthur, and Liam P. Barry

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Abstract

Nonlinearities in SOA-based wavelength conversion are experimentally tackled using post-blind-compensation based on machine learning clustering for coherent 16/64-QAM signals. We show that K-means outperforms fuzzy-logic since it tackles more effectively non-circularly- symmetric Gaussian noise and nonlinearity.

© 2019 The Author(s)

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