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Conferences > OFC > 2022 > M1H > M1H.3

Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks

Vinod Bajaj, Mathieu Chagnon, Sander Wahls, and Vahid Aref

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Abstract

We present a simple, efficient “direct learning” approach to train Volterra series-based digital pre-distortion filters using neural networks. We show its superior performance over conventional training methods using a 64-QAM 64 GBaud simulated transmitter with varying transmitter nonlinearity and noisy conditions.

© 2022 The Author(s)

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