Inverse synthetic aperture radar (ISAR) imaging of the target with the non-rigid body is very important in the field of radar signal processing. In this paper, a motion compensation method combined with the preprocessing and global technique is proposed to reduce the influence of micro-motion components in the fast time domain, and the micro-Doppler (m-D) signal in the slow time domain is separated by the improved complex-valued empirical-mode decomposition (CEMD) algorithm, which makes the m-D signal more effectively distinguishable from the signal for the main body by translating the target to the Doppler center. Then, a better focused ISAR image of the target with the non-rigid body can be obtained consequently. Results of the simulated and raw data demonstrate the effectiveness of the algorithm.

中文翻译：

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微动目标的运动补偿和ISAR成像方法

具有非刚体的目标的反向合成孔径雷达（ISAR）成像在雷达信号处理领域中非常重要。为了减少微运动分量在快速时域中的影响，提出了一种运动补偿方法，该方法结合了预处理和全局技术，将慢时域中的微多普勒（mD）信号与信号进行了分离。改进的复数值经验模式分解（CEMD）算法，通过将目标平移到多普勒中心，可以使mD信号与主体信号更有效地区分开。然后，可以得到具有非刚体的目标的更好聚焦的ISAR图像。仿真和原始数据的结果证明了该算法的有效性。