Details

Autor(en) / Beteiligte

• Kashi, A. S.
• Zhuge, Q.
• Cartledge, J. C.
• Borowiec, A.
• Charlton, D.
• Laperle, C.
• O'Sullivan, M.

Titel

Fiber Nonlinear Noise-to-Signal Ratio Monitoring Using Artificial Neural Networks

Ist Teil von

• 2017 European Conference on Optical Communication (ECOC), 2017, p.1-3

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Link zum Volltext

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• An artificial neural network model to estimate fiber nonlinear noise-to-signal ratio based on amplitude noise covariance of received symbols is proposed. Standard deviation of 0.2 dB is obtained in simulation, and estimation error of <0.6 dB is verified in experiment.