In this article, we demonstrate the use of interferometric radar for high-accuracy measurement of the ground speed of a moving vehicle. Recent work has shown the capability of radar systems using interferometric antenna apertures to directly measure the angular velocity of objects. In this work, we apply this new measurement to the automotive application of velocity estimation. We start by formulating the interferometric response from a ground surface, which is modeled as a summation of independent point scatterers. Next, we present two velocity estimation methods: a Bayesian method that uses a signal model and a neural network-based approach. We then describe a 40-GHz interferometric radar system that we have developed and present on-vehicle measurements. Finally, we present the results of the two estimators and compare these results with the theoretical accuracy of the system. We show that the Bayesian and neural net estimators achieved a root-mean-square velocity error of 0.403 and 0.183 m/s, respectively.

中文翻译：

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使用毫米波干涉雷达的汽车速度传感

在本文中，我们演示了如何使用干涉雷达对移动车辆的地速进行高精度测量。最近的工作显示了雷达系统使用干涉天线孔径直接测量物体角速度的能力。在这项工作中，我们将这种新测量应用于速度估计的汽车应用。我们首先制定来自地面的干涉响应，它被建模为独立点散射体的总和。接下来，我们介绍两种速度估计方法：使用信号模型的贝叶斯方法和基于神经网络的方法。然后，我们描述了我们开发的 40 GHz 干涉雷达系统，并展示了车载测量结果。最后，我们展示了两个估计器的结果，并将这些结果与系统的理论精度进行了比较。我们表明，贝叶斯和神经网络估计器分别实现了 0.403 和 0.183 m/s 的均方根速度误差。