MDG and SNR Estimation in SDM Transmission Based on Artificial Neural Networks

MDG and SNR Estimation in SDM Transmission Based on Artificial Neural Networks

The increase in capacity provided by coupled space division multiplexing (SDM) systems is fundamentally limited by mode-dependent gain (MDG) and amplified spontaneous emission (ASE) noise. Therefore, monitoring MDG and optical signal-to-noise ratio (SNR) is essential for accurate performance evaluat...

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Bibliographic Details
Main Authors: Amezcua Correa, R. (Author), Bravo Ospina, R.S (Author), Chen, H. (Author), Fontaine, N.K (Author), Mello, D.A.A (Author), Okonkwo, C.M (Author), Ryf, R. (Author), Van den Hout, M. (Author), Van der Heide, S. (Author), Van Weerdenburg, J. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Adaptive optics
Digital signal processing
Eigenvalue and eigenfunctions
Eigenvalues and eigenfunctions
Equalizers
Estimation
Estimation methods
Mean square error
MIMO systems
mode-dependent gain
Mode-dependent gain
Mode-dependent loss
Network-based
Neural networks
Optical coupling
Optical couplings
Optical fiber communication
optical fiber communications
Optical fibers
Optical polarization
Optical receivers
Optical signal to noise ratio
Optical-fiber communication
Signal receivers
Signal to noise ratio
Signalto- noise ratio estimations
Space division multiple access
space division multiplexing
Space division multiplexing
Transfer matrix method
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