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Joint Estimation of IQ Phase and Gain Imbalances Using Convolutional Neural Networks on Eye Diagrams

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Abstract

A machine learning-based low-cost monitoring technique for transmitter IQ phase and gain imbalances is proposed. Simulations with formats up to NRZ-64QAM (28 GBd) show 95%-confidence estimation within 1.5° for phase and 0.06 for gain imbalances.

© 2018 The Author(s)

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