Uncrewed Aerial Vehicle (UAV)-Based, K-Band Interferometric Synthetic Aperture Radar (SAR)

Yaxuan Li;Ali Bekar;Marco Martorella;Michail Antoniou
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Abstract

This article proposes the study and development of interferometric synthetic aperture radar (InSAR) from compact, high-frequency radar sensors onboard commercial uncrewed aerial vehicles (UAVs), (often referred to as “drones”) to create precision digital elevation models (DEMs). The potential of such InSAR systems, due to the higher operating frequency and target proximity, is quantified, but it is also shown how the same features, combined with the instability of UAV platforms, lead to motion errors that either deteriorate or altogether deny capability. This article thus quantifies acceptable motion error limits and shows how complex autofocus can restore height estimation performance, through analytical modeling that is verified by simulation and validated through outdoor experiments with a 24 GHz UAV-based demonstrator. To our knowledge, this is the first demonstration of a UAV-based InSAR system in this high-frequency band.
基于无人机的k波段干涉合成孔径雷达(SAR)
本文提出研究和开发干涉合成孔径雷达(InSAR),利用商用无人驾驶飞行器(uav)(通常称为“无人机”)上的紧凑型高频雷达传感器来创建精确的数字高程模型(dem)。这种InSAR系统的潜力,由于更高的工作频率和目标接近,是量化的,但它也显示了如何相同的特征,结合无人机平台的不稳定性,导致运动误差,要么恶化,要么完全否定能力。因此,本文量化了可接受的运动误差限制,并展示了复杂的自动对焦如何通过分析建模恢复高度估计性能,该分析建模经过仿真验证,并通过基于24 GHz无人机的演示器进行户外实验验证。据我们所知,这是在该高频波段首次展示基于无人机的InSAR系统。
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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