汽车雷达关键技术分析与展望

Analysis and prospect of key technologies of automotive radar

汽车雷达基于电磁波信号感知路况,具有全天时、全天候、低成本等优点,是未来智能化交通和自动驾驶的重要传感器。其中,高精确度目标测距、测速,高分辨力角度估计和多扩展目标跟踪是汽车雷达领域的研究重点。本文针对汽车雷达波形、天线设计、测角算法以及目标跟踪算法等关键模块和主要设计思路进行梳理,结合雷达抗干扰、MIMO编码、扩展目标状态估计等技术难点,介绍并归纳了近几年代表性的文献,旨在为以后的研究提供参考和依据。

Automotive radars sense the traffic environment using electromagnetic wave.It is of low cost and works under all weather conditions throughout the day,so is of great importance for intelligent traffic and autonomous driving.Nowadays,researchers in this field focus on high-accuracy sensing of range and velocity,high resolution angle estimation and high performance multiple extended target tracking.In this paper,the existing methods in waveform design,antenna design,angle estimation and target tracking algorithms for automotive radar are reviewed.The recent literatures on radar anti-jamming,MIMO coding and extended target state estimation are summarized,aiming to provide an introduction and directions for future research.