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Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies

Canan Aydoğdu, Musa Furkan Keskin, Gisela Carvajal, Olof Eriksson, Hans Hellsten, Hans Herbertsson, Emil Nilsson, Mats Rydström, Karl Vanäs, Henk Wymeersch

2020IEEE Signal Processing Magazine137 citationsDOIOpen Access PDF

Abstract

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).

Topics & Concepts

RadarRobustness (evolution)Computer scienceInterference (communication)Automotive industryMan-portable radarRadar trackerRadar engineering detailsRadar imagingTelecommunicationsEngineeringAerospace engineeringBiochemistryChemistryChannel (broadcasting)GeneRadar Systems and Signal ProcessingElectromagnetic Compatibility and MeasurementsAdvanced SAR Imaging Techniques
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