34 citations · 41 across the 4 of their papers we have counts for
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MDG and SNR Estimation in SDM Transmission Based on Artificial Neural Networks
Ruby S. B. Ospina, Menno van den Hout, Sjoerd van der Heide +7
The increase in capacity provided by coupled SDM systems is fundamentally limited by MDG and ASE noise. Therefore, monitoring MDG and optical SNR is essential for accurate performa…
Neural-network-based MDG and Optical SNR Estimation in SDM Transmission
Ruby S B Ospina, Menno van den Hout, Sjoerd van der Heide +2
We propose a neural network model for MDG and optical SNR estimation in SDM transmission. We show that the proposed neural-network-based solution estimates MDG and SNR with high ac…
Experimental validation of MDL emulation and estimation techniques for SDM transmission systems
Menno van den Hout, Ruby S. B. Ospina, Sjoerd van der Heide +8
We experimentally validate a mode-dependent loss (MDL) estimation technique employing acorrection factor to remove the MDL estimation dependence on the SNR when using a minimum mea…
Mode-dependent Loss and Gain Estimation in SDM Transmission Based on MMSE Equalizers
Ruby S. B. Ospina, Menno van den Hout, Juan Carlos Alvarado-Zacarias +7
The capacity in space division multiplexing (SDM) systems with coupled channels is fundamentally limited by mode-dependent loss (MDL) and mode-dependent gain (MDG) generated in com…