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High Resolution ISAR Imaging of Targets with Rotating Parts

机译:具有旋转部件的目标的高分辨率ISAR成像

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摘要

For a target with rotating parts, the ISAR image of its main body may be overshadowed by micro-Doppler signals, which are traditionally treated as interference and removed from radar echoes. However, it is potentially useful to perform imaging using micro-Doppler signals because they contain information on the geometrical structure of the rotating part. Inspired by the inverse Radon transform, well-known in the image processing community, this paper creates a data-recording model for two-dimensional (2D) ISAR imaging of rotating parts. Based on this model, the real-valued inverse Radon transform is applied to image formation in the range-slow time domain. Then we put forward a complex-valued inverse Radon transform for imaging of rotating parts, which utilizes both the sinusoidal modulus and the phase of the radar echoes. Additionally, we analyze possible problems when applying these algorithms in real world situations and provide corresponding solutions. Finally, the effectiveness of the algorithms is demonstrated using simulated and measured data.
机译:对于具有旋转部件的目标,其主体的ISAR图像可能会被微多普勒信号遮盖,微多普勒信号在传统上被视为干扰并已从雷达回波中去除。但是,使用微多普勒信号执行成像可能很有用,因为它们包含有关旋转部件几何结构的信息。受图像处理领域众所周知的Radon逆变换的启发,本文创建了旋转零件的二维(2D)ISAR成像数据记录模型。基于此模型,将实值逆Radon变换应用于距离慢时域中的图像形成。然后,我们提出了一种正弦模量和雷达回波相位的复值逆Radon变换,用于旋转零件的成像。此外,我们分析了在实际情况下应用这些算法时可能出现的问题,并提供了相应的解决方案。最后,使用仿真和测量数据证明了算法的有效性。

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