高速机动目标多普勒解模糊高分辨成像方法

针对目标高速机动导致ISAR成像结果产生距离徙动（MTRC）和多普勒模糊的问题，提出一种新的高速机动目标ISAR成像方法，用于解算距离徙动下的多普勒模糊难题。首先，将原始信号变换至图像域，提取最强散射点，估计该点对应的信号调频率，并基于图像最大对比度准则估计多普勒模糊数。然后，重构回波信号的同时矫正距离徙动，并利用CLEAN技术降低运算量和减小噪声对成像结果的影响，获得高速机动目标无模糊的高分辨ISAR图像。仿真实验结果证明了所提方法的有效性和低信噪比下的强鲁棒性。 

High-resolution imaging algorithm of high-speed maneuvering target with Doppler ambiguity removal

A new ISAR imaging algorithm for high-speed maneuvering target is proposed to solve the Doppler ambiguity problem under Migration Through Range Cells (MTRC). First, the algorithm transforms the original signal to the image domain, then extracts the strongest scattering point, estimates the chirp rate of the point, and estimates the Doppler ambiguity number based on the maximum contrast criterion of the image. The next step is reconstructing the echo signal, correcting the MTRC, and using CLEAN technology to reduce computation and the impact of noise on imaging results. Finally, a high-resolution ISAR image without ambiguity for high-speed maneuvering target is obtained. The simulation results prove the algorithm's effectiveness and strong robustness under conditions of low signal-to-noise ratio.