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.
@article{arxiv.2301.06576,
title = {Improving the Bootstrap of Blind Equalizers with Variational Autoencoders},
author = {Vincent Lauinger and Fred Buchali and Laurent Schmalen},
journal= {arXiv preprint arXiv:2301.06576},
year = {2023}
}
Comments
Accepted and to be presented at the Optical Fiber Communication Conference (OFC) 2023