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Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies
Chalmers University of Technology, Gothenburg, Sweden.
Chalmers University of Technology, Gothenburg, Sweden.
QAMCOM Research, Gothenburg, Sweden.
Veoneer Sweden AB, Vårgårda, Sweden.
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2020 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 37, no 4, p. 72-84, article id 9127843Article in journal (Refereed) Published
Abstract [en]

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). © IEEE.

Place, publisher, year, edition, pages
Piscataway: Institute of Electrical and Electronics Engineers (IEEE), 2020. Vol. 37, no 4, p. 72-84, article id 9127843
Keywords [en]
Automotive radar, Autonomous vehicles, Radar signal processing, Automated driving, Autonomous driving, Heavy rains, Interference mitigation, Interference-free, Light conditions, New approaches, Radar interference
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-43296DOI: 10.1109/MSP.2020.2969319ISI: 000545430400010Scopus ID: 2-s2.0-85087917101OAI: oai:DiVA.org:hh-43296DiVA, id: diva2:1477792
Funder
Vinnova, 2018-01929Available from: 2020-10-20 Created: 2020-10-20 Last updated: 2020-10-20Bibliographically approved

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Nilsson, Emil

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