Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies

被引：94

作者：

Aydogdu, Canan ^{[1
]}

Keskin, Musa Furkan ^{[1
]}

Carvajal, Gisela K. ^{[2
]}

Eriksson, Olof ^{[3
]}

Hellsten, Hans ^{[4
,5
,6
]}

Herbertsson, Hans ^{[7
,8
]}

Nilsson, Emil ^{[9
,10
]}

Rydstrom, Mats ^{[7
]}

Vanas, Karl ^{[11
,12
]}

Wymeersch, Henk ^{[13
,14
]}

机构：

[1] Chalmers Univ Technol, Gothenburg, Sweden

[2] QAMCOM Res, Gothenburg, Sweden

[3] Veoneer Sweden, Vargarda, Sweden

[4] Saab Surveillance, Linkoping, Sweden

[5] Halmstad Univ, Halmstad, Sweden

[6] Swedish Def Res Agcy, Linkoping, Sweden

[7] Veoneer Sweden AB, Vargarda, Sweden

[8] Ericsson AB, Stockholm, Sweden

[9] Halmstad Univ, Sch Informat Technol, Halmstad, Sweden

[10] Raytelligence AB, Halmstad, Sweden

[11] Volvo Car Corp, Gothenburg, Sweden

[12] Volvo Cars, Gothenburg, Sweden

[13] Chalmers Univ Technol, Commun Syst, Gothenburg, Sweden

[14] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2020年 / 37卷 / 04期

关键词：

Interference; Chirp; Automotive engineering; Radar cross-sections; Radar antennas; Delays; AUTOMOTIVE RADAR; PHASE-NOISE; RANGE;

D O I：

10.1109/MSP.2020.2969319

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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).

引用

页码：72 / 84

页数：13

共 30 条

[1] Stochastic Geometry Methods for Modeling Automotive Radar Interference [J].