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

2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)(2021)

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摘要
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. (C) 2021 Stephen E. Ralph
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