Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies
Journal article, 2020

Autonomous driving relies on a variety of sensors, especially on radars, which have unique robustness under heavy rain/fog/snow and poor light conditions.
With the rapid increase of the amount of radars used on modern vehicles, where most radars operate in the same frequency band, the risk of radar interference becomes a compelling issue.
This article analyses automotive radar interference and proposes several new approaches, which combine industrial and academic expertise, toward the path of interference-free autonomous driving.

Author

Canan Aydogdu

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Furkan Keskin

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Gisela K. Carvajal

Qamcom Research & Technology

Olof Eriksson

Veoneer

Hans Hellsten

Saab

Hans Herbertsson

Veoneer

Emil Nilsson

Halmstad University

Mats Rydström

Veoneer

Karl Vanas

Volvo Cars

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Signal Processing Magazine

1053-5888 (ISSN) 15580792 (eISSN)

Vol. 37 4 72-84 9127843

Combined Radar-Based Communication and Interference Mitigation for Automotive Applications

VINNOVA (2018-01929), 2019-01-01 -- 2020-12-31.

Areas of Advance

Information and Communication Technology

Transport

Driving Forces

Sustainable development

Innovation and entrepreneurship

Subject Categories

Communication Systems

Signal Processing

Computer Science

DOI

10.1109/MSP.2020.2969319

More information

Latest update

4/5/2022 7