汽车四维雷达天线阵列与信号处理新概念

Martin Stolz, M. Wolf, F. Meinl, M. Kunert, W. Menzel
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引用次数: 15

摘要

在向高度自动驾驶(HAD)发展的过程中,车辆中使用的传感器出现了新的条件。为了实现高精度的环境感知,必须提高雷达传感器的分辨率。只有有了细粒度的传感器信息,才有可能在城市和农村环境的所有道路条件下安全、高度自动化地机动。这种传感器的原型实现,它满足了所有这些要求,在下面作为汽车4D雷达提出。结合所使用的调制波形,说明了基带信号处理的相关部分。介绍了一种新的天线阵列布置,可以同时测量方位角和仰角。为了估计两个到达角,举例说明了一种将这两种方法结合使用的方法。首先测量与骑自行车的记录和显示径向速度增强的三维雷达图像。最初的结果非常有希望。为了验证测量数据,还对具有相同系统参数的相同场景进行了模拟并显示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Antenna Array and Signal Processing Concept for an Automotive 4D Radar
On the way to Highly Automated Driving (HAD), new conditions for sensors used in vehicles arise. To achieve a highly accurate environmental perception the resolution of radar sensors has to be increased. Only with fine grained sensor information, it is possible to maneuver safely and highly automated at all road conditions in urban and rural surroundings. A prototypical implementation of such a sensor, which fulfills all these requirements, is presented in the following as automotive 4D radar. The relevant parts of the baseband signal processing are explained in combination with the used modulation waveform. A new antenna array arrangement is introduced which provides the ability to measure angles in both azimuth and elevation. To estimate the two angles of arrival a method which performs this in combination is exemplified. First measurements with a cyclist are recorded and show a radial speed enhanced 3D radar image. The first results are extremely promising. For validation of the measured data, also a simulation of the same scenario with identical system parameters is performed and shown.
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