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Conferences > OFC > 2021 > W7A > W7A.5

Impairment Identification for PAM-4 Transceivers and Links Using Machine Learning

Daniel Lippiatt, Alirio Melgar, Varghese A. Thomas, Siddharth Varughese, Pavel Zivny, Shane Hazzard, and Stephen E. Ralph

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Abstract

We demonstrate simultaneous TDECQ estimation and impairment identification using convolutional neural networks. Robust training with representative impairments yielded identification accuracy of 100% for TDECQ >2.6 dB, when considering limited bandwidth, signal compression and SNR degradation.

© 2021 The Author(s)

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