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Nonlinearity Mitigation of RoF Signal Using Machine Learning Based Classifier

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Abstract

To mitigate nonlinear constellation distortion in discrete multi-tone (DMT) modulated radio over fiber system, two machine learning methods (KNN and SVM) are proposed for received signal decision. The simulation results show that both methods can effectively reduce the bit error rate.

© 2017 Optical Society of America

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