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Wide-Angle Ultra-Wideband ISAR Imaging of Vehicles and Drones

机译:车辆和无人机的广角超宽带ISAR成像

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摘要

In-situ, wide-angle, and ultra-wideband inverse synthetic aperture radar (ISAR) imaging of vehicles and drones is demonstrated using a portable ultra-wideband radar. In order to form well-focused ISAR images, motion compensation is performed before applying the k-space imaging algorithm. While the same basic motion compensation methodology is applied to both types of targets, a more complex motion model is needed to better capture the flight path of the drone. The resulting ISAR images clearly show the geometrical outline of the targets and highlight locations of prominent backscattering. The ISAR images are also assessed against images generated through instrumented targets or laboratory measurements, and the image quality is shown to be comparable.
机译:使用便携式超宽带雷达演示了车辆和无人机的原位,广角和超宽带逆合成孔径雷达(ISAR)成像。为了形成聚焦良好的ISAR图像,在应用k空间成像算法之前执行运动补偿。虽然将相同的基本运动补偿方法应用于两种类型的目标,但需要更复杂的运动模型才能更好地捕获无人机的飞行路径。生成的ISAR图像清楚地显示了目标的几何轮廓,并突出显示了明显的反向散射位置。还针对通过仪器目标或实验室测量生成的图像评估了ISAR图像,并且显示出图像质量具有可比性。

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