Radar-based altitude over ground estimation of UAVs

Markus Schartel, Ralf Burr, Pirmin Schoeder, G. Rossi, Philipp Hügler, W. Mayer, C. Waldschmidt
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引用次数: 11

Abstract

A 26 GHz low-cost, low power, and low complexity pulse correlation radar (PCR) for online altitude over ground estimation of an unmanned aerial vehicle (UAV) is presented. In the experimental part of this paper, measurement results of the customized lightweight radar are shown. Therefore, this radar, a commercially available lidar sensor, and a real time kinematic global navigation satellite system (RTK GNSS) are mounted on a UAV. It is shown that in sparse vegetation, the radar in combination with a particle filter outperforms the lidar sensor. Besides, it is explained, why strong radar reflections can lead to a time offset of the particle filtered altitude. As an application, a radar-based terrain map is presented.
无人机的雷达对地高度估计
提出了一种26 GHz低成本、低功耗、低复杂度的脉冲相关雷达(PCR),用于在线估计无人机对地高度。在本文的实验部分,给出了定制轻量化雷达的测量结果。因此,这种雷达、商用激光雷达传感器和实时动态全球导航卫星系统(RTK GNSS)安装在一架无人机上。结果表明,在稀疏植被条件下,结合粒子滤波的雷达优于激光雷达传感器。此外,还解释了为什么强雷达反射会导致粒子滤波高度的时间偏移。作为一种应用,提出了一种基于雷达的地形图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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