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Machine Learning Aided In-phase/Quadrature Skew and Imbalance Calibration for Coherent Optical Transmitters

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Abstract

We apply artificial neural network to guide the calibration of IQ time skew and amplitude imbalances for coherent optical transmitters with heterodyne detection and modified real-value CMA. 12.8 dB performance improvement is observed after only three calibration steps.

© 2019 The Author(s)

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