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Vertical digital beamforming versus multipath height finding

机译:垂直数字波束形成与多径高度查找

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This paper assesses the advantage of exploiting radar wave multipath propagation to measure the height of extended objects using a Frequency Modulation Continuous Wave (FMCW) automotive radar. The proposed height estimation algorithm utilizes the non-line-of-sight (NLOS) propagation from a target to calculate the height of objects in the vehicle's surroundings without requiring multiple antennas at different heights. First, a multipath propagation model is presented; a target height formula is derived based on sensor-target geometry. It is then shown from the derived height formula that the height estimation accuracy of the algorithm depends greatly on the range resolution of the sensor. Next, scattering mechanisms of radar waves, wave diffraction in particular, are discussed to make the multipath propagation model valid for extended targets. Finally, the results of a measurement campaign conducted on extended targets of different heights are discussed and compared against the results of a Digital Beamforming (DBF) algorithm applied to a vertical antenna with eight channels. The proposed algorithm resolves target heights very accurately, achieving an average mean height estimation of 0.025 m for curbstones 0.11 m high.
机译:本文评估了利用调频连续波(FMCW)汽车雷达利用雷达波多径传播来测量扩展物体的高度的优势。提出的高度估计算法利用从目标的非视线(NLOS)传播来计算车辆周围环境中物体的高度,而无需在不同高度使用多个天线。首先,提出了一种多径传播模型。基于传感器-目标几何形状导出目标高度公式。从导出的高度公式可以看出,算法的高度估计精度在很大程度上取决于传感器的距离分辨率。接下来,讨论雷达波的散射机制,尤其是波衍射,以使多径传播模型对扩展目标有效。最后,讨论了在不同高度的扩展目标上进行的测量活动的结果,并将其与应用于八通道垂直天线的数字波束成形(DBF)算法的结果进行了比较。所提出的算法可以非常精确地解析目标高度,对于0.11 m高的路缘石,可以实现0.025 m的平均平均高度估计。

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