中文摘要：

高机动目标雷达截面积（Radar Cross Section,RCS）的快速起伏,容易对常规单站逆合成孔径雷达（Inverse Synthetic Aperture Radar,ISAR）成像性能的稳定性造成影响。针对这一问题,该文提出了一种基于频率分集分布式多输入多输出逆合成孔径雷达（Multiple Input Multiple Output-Inverse Synthetic Aperture Radar,MIMO-ISAR）子图像融合的成像方法。首先建立了分布式MIMO-ISAR不同通道所获取的2维ISAR图像解析表达式,导出了距离和方位畸变因子,通过对不同通道所获取ISAR图像畸变的补偿,实现了频率分集分布式MIMOISAR融合成像。仿真实验结果证实了提出方法的有效性。

英文摘要：

The fast fluctuation associated with maneuvering a target＇s radar cross-section often affects the imaging performance stability of traditional monostatic Inverse Synthetic Aperture Radar（ISAR）. To address this problem, in this study, we propose an imaging method based on the fusion of sub-images of frequencydiversity-distributed multiple Input-Multiple Output-Inverse Synthetic Aperture Radar（MIMO-ISAR）. First,we establish the analytic expression of a two-dimensional ISAR sub-image acquired by different channels of distributed MIMO-ISAR. Then, we derive the distance and azimuth distortion factors of the image acquired by the different channels. By compensating for the distortion of the ISAR image, we ultimately realize distributed MIMO-ISAR fusion imaging. Simulations verify the validity of this imaging method using distributed MIMOISAR.