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Synthetic Aperture Radar (SAR) Imaging of Complex Scenes Considering Near-Field Scattering Characteristics

机译:考虑近场散射特性的复杂场景合成孔径雷达(SAR)成像

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摘要

Synthetic Aperture Radar (SAR) imaging from low altitude aerial vehicles has been gaining much importance togetherrnwith the widespread use of Unmanned Aerial Vehicles (UAVs). Relatively shorter distances between the mentionedrnvehicles and imaged scenes require the consideration of near-field scattering phenomenon. In this paper, authors hasrnfocused on the design of a SAR simulator for low altitude vehicles that takes the stated phenomenon into account. Therninputs of the simulator are a 3-D complex scene consisting of artificial targets and natural environment constructedrnby triangular surface meshes and parameters of the SAR system. Scatterer reflectivities are evaluated by utilizing thernnear-field Physical Optics (PO) method and SAR raw data is generated in time domain. Finally, the simulator processesrnthe raw data and constructs the SAR images via Doppler Beam Sharpening (DBS) algorithm.
机译:低空飞行器的合成孔径雷达(SAR)成像技术随着无人飞行器(UAV)的广泛使用而变得越来越重要。所提到的车辆与成像场景之间的距离相对较短,需要考虑近场散射现象。在本文中,作者将重点放在了针对低空车辆的SAR模拟器的设计上,该模拟器考虑了上述现象。模拟器的输入是一个3D复杂场景,它由人工目标和由三角形曲面网格和SAR系统参数构成的自然环境组成。利用近场物理光学(PO)方法评估散射体的反射率,并在时域中生成SAR原始数据。最后,模拟器通过多普勒波束锐化(DBS)算法处理原始数据并构建SAR图像。

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