Range Instantaneous Doppler ISAR imaging based on FRFT

Huang Jian-jia, Yali Qin, H. Ren, Wen Hao
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Abstract

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.
基于FRFT的距离瞬时多普勒ISAR成像
甚高分辨率逆合成孔径雷达(ISAR)机动目标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,传统的傅里叶变换无法用于ISAR成像重建。为此,提出了基于分数阶傅里叶变换(FRFT)的距离瞬时多普勒(RID)技术。首先,我们定义了一个适用于机动目标的ISAR接收信号模型。为了消除平移运动分量引起的相位误差,利用目标后向散射的强散射信号进行相位补偿,利用频域变换从回波中提取相位补偿。最后,提出了基于RID的ISAR图像重构方法。经过SPWVD时频变换,得到瞬时多普勒频率。即使没有精确的运动补偿,也能获得清晰的目标图像,如飞机,避免了传统的基于傅里叶的图像算法的不足。通过对仿真结果的介绍和讨论,验证了理论分析的正确性。
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