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Correction of artifacts in turntable inverse synthetic aperture radar images

机译:转台逆合成孔径雷达图像中的伪影校正

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Abstract: Inverse synthetic aperture radar (ISAR) imaging on a turntable-tower test range permits convenient generation of high resolution 2- and 3-D images of radar targets under controlled conditions, typically for characterization of the radar cross section of targets or for testing SAR image processing and automatic target recognition algorithms. However, turntable ISAR images suffer geometric distortions and zero-Doppler clutter (ZDC) artifacts not found in airborne SAR images. In this paper, ISAR images formed at Georgia Tech's Electromagnetic Test Facility are used to demonstrate and compare selected members of one family of 2- D ISAR imaging algorithms, from a simple but distortion- prone 2D discrete Fourier transform to a computationally- intensive matched filter solution. A simple algorithm for correcting range curvature using image domain resampling is described. We then demonstrate two signal processing techniques to suppress zero-Doppler clutter while minimizing effects on the target signature. The first removes ZDC components in the frequency domain, whereas the second performs cancellation in the image domain.!2
机译:摘要:转盘塔测试范围上的反向合成孔径雷达(ISAR)成像可在受控条件下方便地生成雷达目标的高分辨率2维和3D图像,通常用于表征目标的雷达横截面或进行测试SAR图像处理和自动目标识别算法。但是,转盘ISAR图像会遇到几何失真和机载SAR图像中找不到的零多普勒杂波(ZDC)伪影。在本文中,佐治亚理工学院电磁测试设施形成的ISAR图像用于演示和比较2-D ISAR成像算法家族中的选定成员,从简单但易于失真的2D离散傅里叶变换到计算量大的匹配滤波器解决方案。描述了一种使用图像域重采样校正距离曲率的简单算法。然后,我们演示了两种信号处理技术,可在抑制零多普勒杂波的同时将对目标签名的影响降至最低。第一个在频域中去除ZDC分量,而第二个在图像域中执行抵消。!2

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