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Range Instantaneous Doppler ISAR imaging based on FRFT

机译:基于FRFT的距离瞬时多普勒ISAR成像

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Very high resolution inverse synthetic aperture radar (ISAR) imaging of maneuvering targets is a complicated task. Due to the phase error caused by target's non-cooperative motion, we can't use conventional Fourier transform in ISAR imaging reconstruction. Therefore, the method of Range Instantaneous Doppler (RID) technique based on Fractional Fourier Transform (FRFT) is presented. First, we define a model of the ISAR received signal that is valid for maneuvering targets. In order to eliminate phase error caused by translational motion components, the strong scatter signal that backscattering from the target is used for phase compensation, which can be extracted from the echoes using FRFT. Finally, RID is proposed to reconstruct ISAR image. After time-frequency transform named SPWVD, we get the instantaneous Doppler frequency. Even without exact motion compensation, a clear image of the target, such as aircraft, is obtained, which avoids the insufficiency of conventional Fourier-based image algorithm. The theoretical analysis is validated by presenting and discussing the simulation results.
机译:机动目标的超高分辨率逆合成孔径雷达(ISAR)成像是一项复杂的任务。由于目标的非合作运动引起的相位误差,我们不能在ISAR成像重建中使用传统的傅里叶变换。因此,提出了基于分数阶傅立叶变换(FRFT)的距离瞬时多普勒(RID)技术。首先,我们定义了对机动目标有效的ISAR接收信号模型。为了消除由平移运动分量引起的相位误差,将从目标反向散射的强散射信号用于相位补偿,可以使用FRFT从回波中提取该信号。最后,提出了RID来重建ISAR图像。经过时频变换SPWVD,我们得到了瞬时多普勒频率。即使没有精确的运动补偿,也可以获得目标(例如飞机)的清晰图像,这避免了传统的基于傅立叶的图像算法的不足。通过介绍和讨论仿真结果验证了理论分析。

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