Modulation Format Recognition and OSNR Estimation Using CNN-Based Deep Learning

An intelligent eye-diagram analyzer is proposed to implement both modulation format recognition (MFR) and optical signal-to-noise rate (OSNR) estimation by using a convolution neural network (CNN)-based deep learning technique. With the ability of feature extraction and self-learning, CNN can proces...

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Veröffentlicht in:	IEEE photonics technology letters 2017-10, Vol.29 (19), p.1667-1670
Hauptverfasser:	Wang, Danshi, Zhang, Min, Li, Ze, Li, Jin, Fu, Meixia, Cui, Yue, Chen, Xue
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Back propagation Back propagation networks Computer simulation Convolution convolution neural network (CNN) Deep learning eye diagram Feature extraction Format Image processing Kernel Machine learning Modulation modulation format recognition (MFR) Neural networks Optical communication Optical imaging Optical noise optical performance monitoring (OPM) optical signal-to-noise rate (OSNR) Recognition Signal analysis Signal to noise ratio
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