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从电子战角度分析先进驾驶员辅助系统(ADAS)雷达

Analysis of ADAS Radars with Electronic Warfare Perspective.

作者信息

Cemil Alper, Ünlü Mehmet

机构信息

Electrical and Electronics, Engineering Department, Ankara Yıldırım Beyazıt University, 06760 Ankara, Turkey.

Electrical and Electronics, Engineering Department, TOBB University of Economics and Technology, 06510 Ankara, Turkey.

出版信息

Sensors (Basel). 2022 Aug 17;22(16):6142. doi: 10.3390/s22166142.

DOI:10.3390/s22166142
PMID:36015903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9413379/
Abstract

The increasing demand in the development of autonomous driving systems makes the employment of automotive radars unavoidable. Such a motivation for the demonstration of fully-autonomous vehicles brings the challenge of secure driving under high traffic jam conditions. In this paper, we present the investigation of Advanced Driver Assistance Systems (ADAS) radars from the perspective of electronic warfare (EW). Close to real life, four ADAS jamming scenarios have been defined. Considering these scenarios, the necessary jamming power to jam ADAS radars is calculated. The required jamming Effective Radiated Power (ERP) is -2 dBm to 40 dBm depending on the jamming scenario. These ERP values are very low and easily realizable. Moreover, the effect of the jamming has been investigated on the radar detection at radar Range Doppler Map (RDM) and 2-Dimensional Constant False Alarm Rate (2D-CFAR). Furthermore, the possible jamming system requirements have been investigated. It is noted that the required jamming system will not require high-end technology. It is concluded that for the security of automotive driving, the ADAS radar manufacturer should consider the intentional jamming and related Electronic Counter Countermeasures (ECCM) features in the design of ADAS radars.

摘要

自动驾驶系统发展中不断增长的需求使得汽车雷达的应用不可避免。这种对全自动驾驶车辆进行演示的动机带来了在高交通拥堵情况下安全驾驶的挑战。在本文中,我们从电子战(EW)的角度对先进驾驶辅助系统(ADAS)雷达进行了研究。接近实际情况,定义了四种ADAS干扰场景。考虑这些场景,计算了干扰ADAS雷达所需的干扰功率。所需的干扰有效辐射功率(ERP)根据干扰场景为-2 dBm至40 dBm。这些ERP值非常低且易于实现。此外,还研究了干扰对雷达距离多普勒图(RDM)和二维恒虚警率(2D-CFAR)下雷达检测的影响。此外,还研究了可能的干扰系统要求。需要注意的是,所需的干扰系统不需要高端技术。得出的结论是,为了汽车驾驶的安全,ADAS雷达制造商在设计ADAS雷达时应考虑有意干扰和相关的电子对抗措施(ECCM)特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/8181902c09a0/sensors-22-06142-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/1a49dbe65ac8/sensors-22-06142-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/a8c5252ef086/sensors-22-06142-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/1afa6ae3f2e7/sensors-22-06142-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/8181902c09a0/sensors-22-06142-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/b8400ed26bef/sensors-22-06142-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/a8c5252ef086/sensors-22-06142-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/f16177fbdd44/sensors-22-06142-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/1afa6ae3f2e7/sensors-22-06142-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/f82b8bd6ea38/sensors-22-06142-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/065524a606a2/sensors-22-06142-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/e71df6d359d7/sensors-22-06142-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f9d/9413379/8181902c09a0/sensors-22-06142-g012.jpg

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