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MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges
IEEE Signal Processing Magazine ( IF 14.9 ) Pub Date : 2020-07-01 , DOI: 10.1109/msp.2020.2978507
Shunqiao Sun , Athina P. Petropulu , H. Vincent Poor

Important requirements for automotive radar are high resolution, low hardware cost, and small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving considerable attention from automotive radar manufacturers because it can achieve a high angular resolution with relatively small numbers of antennas. For that ability, it has been exploited in the current-generation automotive radar for advanced driverassistance systems (ADAS) as well as in next-generation highresolution imaging radar for autonomous driving. This article reviews MIMO radar basics, highlighting the features that make this technology a good fit for automotive radar and reviewing important theoretical results for increasing the angular resolution. The article also describes challenges arising during the application of existing MIMO radar theory to automotive radar that provide interesting problems for signal processing researchers.

中文翻译:

用于高级驾驶辅助系统和自动驾驶的 MIMO 雷达:优势和挑战

汽车雷达的重要要求是高分辨率、低硬件成本和小尺寸。多输入多输出 (MIMO) 雷达技术一直受到汽车雷达制造商的广泛关注,因为它可以用相对较少的天线数量实现高角分辨率。对于这种能力,它已被用于当前用于高级驾驶辅助系统 (ADAS) 的汽车雷达以及用于自动驾驶的下一代高分辨率成像雷达。本文回顾了 MIMO 雷达基础知识,重点介绍了使该技术非常适合汽车雷达的特性,并回顾了提高角分辨率的重要理论结果。
更新日期:2020-07-01
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