Simulation of radar cross-sections of pedestrians at automotive radar frequencies forms a key tool for software verification test beds for advanced driver assistance systems. Two commonly used simulation methods are the computationally simple scattering centre model of dynamic humans and the shooting and bouncing ray technique based on geometric optics. The latter technique is more accurate but computationally complex. Hence, it is usually used only for modelling scattered returns of still human poses. In this work, the authors combine the two methods in a linear regression framework to accurately estimate the scattering coefficients or reflectivities of point scatterers in a realistic automotive radar signal model which they subsequently use to simulate range-time, Doppler-time and range-Doppler radar signatures. The simulated signatures show a normalised mean square error <10% and a structural similarity >81% with respect to measurement results generated with an automotive radar at 77 GHz.

中文翻译：

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使用射线跟踪和点散射器建模的汽车雷达频率下的行人的雷达横截面

在汽车雷达频率下模拟行人的雷达横截面，是用于高级驾驶员辅助系统的软件验证测试台的关键工具。两种常用的仿真方法是动态人体的计算简单散射中心模型和基于几何光学的弹跳和弹跳射线技术。后一种技术更准确，但计算复杂。因此，它通常仅用于建模静态人体姿势的分散回报。在这项工作中，作者在线性回归框架中结合了这两种方法，以在实际的汽车雷达信号模型中准确估计点散射体的散射系数或反射率，随后他们将其用于模拟测距时间，多普勒时间和测距多普勒雷达信号。