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Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies
IEEE Signal Processing Magazine ( IF 9.4 ) Pub Date : 2020-07-01 , DOI: 10.1109/msp.2020.2969319
Canan Aydogdu , Musa Furkan Keskin , Gisela K. Carvajal , Olof Eriksson , Hans Hellsten , Hans Herbertsson , Emil Nilsson , Mats Rydstrom , Karl Vanas , Henk Wymeersch

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).

中文翻译:

自动驾驶雷达干扰缓解:探索主动策略

自动驾驶依赖于多种传感器,尤其是雷达,在大雨/大雾/大雪和弱光条件下具有独特的鲁棒性。随着现代车辆上使用的雷达数量迅速增加,其中大多数雷达工作在同一频段,雷达干扰的风险成为一个引人注目的问题。本文分析了汽车雷达干扰,并提出了几种结合工业和学术专业知识的新方法,以实现无干扰自动驾驶 (AD) 的目标。
更新日期:2020-07-01
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