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Conferences > FiO > 2022 > JTu4B > JTu4B.34

Nonlinear-Mapping Optimization for Effective Nonlinear- Distortion Compensation through Artificial Neural Network

Rui Zhang, Feng Wen, Feng Yang, and Kun Qiu

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Abstract

The optimization procedure on the artificial-neural-network (ANN) has been carried out through selecting the nonlinear-mapping functions. The power threshold of larger than -5.5dBm was obtained for QAM-16 signals when the optimized ANN equalizer applied.

© 2022 The Author(s)

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