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首页> 外文期刊>IEEE Signal Processing Magazine >MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges
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MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges

机译：用于高级驾驶员援助系统和自主驾驶的MIMO RADAR：优势和挑战

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摘要

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.
机译：汽车雷达的重要要求是高分辨率，硬件成本低，尺寸小。多输入，多输出（MIMO）雷达技术得到了来自汽车雷达制造商的相当大的关注，因为它可以实现具有相对较少数量的天线的高角度分辨率。对于这种能力，它已被利用在现有的汽车雷达中，用于高级驱动器系统（ADAS）以及自主驾驶的下一代高度成像雷达。本文审查了MIMO RADAR基础知识，突出了使这项技术适合汽车雷达的功能，并回顾了增加角度分辨率的重要理论结果。本文还描述了在为汽车雷达中应用现有的MIMO雷达理论期间产生的挑战，为信号处理研究人员提供有趣问题。

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