Paper ID: 2301.06576

Improving the Bootstrap of Blind Equalizers with Variational Autoencoders

Vincent Lauinger, Fred Buchali, Laurent Schmalen

We evaluate the start-up of blind equalizers at critical working points, analyze the advantages and obstacles of commonly-used algorithms, and demonstrate how the recently-proposed variational autoencoder (VAE) based equalizers can improve bootstrapping.

Submitted: Jan 16, 2023