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Conferences > OFC > 2023 > M1F > M1F.4

FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training

Keren Liu, Erik Börjeson, Christian Häger, and Per Larsson-Edefors

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Abstract

We design and implement an adaptive machine learning equalizer that alternates multiple linear and nonlinear computational layers on an FPGA. On-chip training via gradient backpropagation is shown to allow for real-time adaptation to time-varying channel impairments.

© 2023 The Author(s)

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