Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders
Journal article, 2023
We propose a novel frequency-domain blind equalization scheme for coherent optical communications. The method is shown to achieve similar performance to its recently proposed time-domain counterpart with lower computational complexity, while outperforming the commonly used CMA-based equalizers.
Author
Jinxiang Song
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Vincent Lauinger
Karlsruhe Institute of Technology (KIT)
Christian Häger
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Jochen Schröder
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Alexandre Graell I Amat
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Laurent Schmalen
Karlsruhe Institute of Technology (KIT)
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
IET Conference Proceedings
27324494 (eISSN)
Vol. 2023 34 1222-1225Physics-Based Deep Learning for Optical Data Transmission and Distributed Sensing
Swedish Research Council (VR) (2020-04718), 2021-01-01 -- 2024-12-31.
Unlocking the Full-dimensional Fiber Capacity
Knut and Alice Wallenberg Foundation (KAW 2018.0090), 2019-07-01 -- 2024-06-30.
Subject Categories
Communication Systems
Control Engineering
Signal Processing
DOI
10.1049/icp.2023.2511