Experimental Study of Deep Neural Network Equalizers Performance in Optical Links

2021/06/24 by Freire, Pedro J., Osadchuk, Yevhenii, Spinnler, Bernhard +5
#FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2106.13133

Abstract

We propose a convolutional-recurrent channel equalizer and experimentally demonstrate 1dB Q-factor improvement both in single-channel and 96 x WDM, DP-16QAM transmission over 450km of TWC fiber. The new equalizer outperforms previous NN-based approaches and a 3-steps-per-span DBP.

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