Projects

6G Artificial Intelligence Radar

Our main research hypothesis is that 6G will be the first generation of mobile communication that can meet the very strict requirements of automotive radar applications (resolution, range, rate, interference robustness), enable novel radar-based applications (e.g., cooperative augmented reality and data sharing) by exploiting the inherent communication properties of 6G.

To fully harness these properties and deal with the rich and abundant data provided by 6G systems, new models and methods need to be developed. AI solutions form a natural approach to obtain near-optimal solutions with manageable complexity.

Partner organizations

Chalmers AI Research Centre (Research Institute, Sweden)

Start date 01/05/2021

End date 30/04/2023

Project members
Funding

Henk Wymeersch

Professor, Communication Systems, Department of Electrical Engineering

Henk Wymeersch is Professor with the Communication Systems Group. He leads the area of Cooperative Systems and is affiliated with the FORCE research center on optical communication. Henk is the...
Christian Häger

Researcher, Electrical engineering

Christian Häger is a researcher (forskare) in the Communication Systems research group. He received the Dipl.-Ing. degree (M.Sc. equivalent) in electrical engineering from Ulm University, Germany, in...
Juliano Pinto

PhD student, Electrical Engineering

Juliano Laganá Pinto is a PhD student in Signal processing working with deep learning in the COPPLAR project.
Lennart Svensson

Professor, Electrical engineering

Lennart Svensson is Professor in Signal Processing. His research interests include nonlinear filtering, multi-target tracking, deep learning, Bayesian inference and reinforcement learning.

Funded by

Chalmers AI Research Centre (Research Institute, Sweden)

Page manager Published: Mon 29 Mar 2021.