Pub Date : 2019-11-01DOI: 10.1109/avfop.2019.8908212
Hyung Joon Cho, D. Lippiatt, Siddharth J. Varughese, S. Ralph
We demonstrate accurate OSNR estimation using convolutional neural networks based on the constellation image of a QAM signal. Simulation and experiment results demonstrate estimation error within 0.1 dB. Neural network training on simulated and successful testing on experimental data was also demonstrated.
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