FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training
Paper in proceeding, 2023
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.
Author
Keren Liu
Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering
Erik Börjeson
Embedded Electronics Systems and Computer Graphics
Christian Häger
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Per Larsson-Edefors
Embedded Electronics Systems and Computer Graphics
2023 Optical Fiber Communications Conference and Exhibition, OFC 2023 - Proceedings
9781957171180 (ISBN)
2023 Optical Fiber Communications Conference and Exhibition, OFC 2023
San Diego, USA,
San Diego, USA,
Physics-Based Deep Learning for Optical Data Transmission and Distributed Sensing
Swedish Research Council (VR) (2020-04718), 2021-01-01 -- 2024-12-31.
Areas of Advance
Information and Communication Technology
Subject Categories
Communication Systems
Embedded Systems
Signal Processing
Computer Science
DOI
10.23919/OFC49934.2023.10116856