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

Autonomous driving relies on a variety of sensors, especially 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 analyzes automotive radar interference and proposes several new approaches that combine industrial and academic expertise toward the goal of achieving interference-free autonomous driving (AD).

Author

Canan Aydogdu

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Furkan Keskin

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Gisela K. Carvajal

Qamcom Research & Technology

Olof Eriksson

Veoneer Sweden AB

H. Hellsten

Saab AB

Hans Herbertsson

Veoneer Sweden AB

Emil Nilsson

Halmstad University

Mats Rydström

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Karl Vanas

Volvo Cars

Henk Wymeersch

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

IEEE Signal Processing Magazine

1053-5888 (ISSN)

Vol. 37 4 72-84 9127843

Combined Radar-Based Communication and Interference Mitigation for Automotive Applications

VINNOVA, 2019-01-01 -- 2020-12-31.

Subject Categories

Vehicle Engineering

Robotics

Signal Processing

DOI

10.1109/MSP.2020.2969319

More information

Latest update

9/18/2020