Publication | Closed Access
Nonlinear decision boundary created by a machine learning-based classifier to mitigate nonlinear phase noise
67
Citations
4
References
2015
Year
Unknown Venue
EngineeringMachine LearningOptical Transmission SystemLprd ToleranceData ScienceNonlinear Decision BoundaryPattern RecognitionNoiseOptical SystemsOptical CommunicationOptical NetworkingPhotonicsNoisy DataNonlinear Signal ProcessingSignal ProcessingMachine Learning-based ClassifierData ClassificationNonlinear Phase NoiseClassifier SystemLearning Classifier System
A machine learning-based classifier, namely SVM, is introduced to create the nonlinear decision boundary in M-ary PSK-based coherent optical system to mitigate NLPN. The maximum transmission distance and LPRD tolerance are improved by 480 km and 3.3 dBm for 8PSK.
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