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中文摘要：
提出了基于立方相位函数参数估计的空间目标运动补偿方法，并推导得到了速度和加速度估计的克拉美-罗界，对该算法的估计性能进行了对比和分析．仿真表明，该方法可以在较低信噪比下实现速度和加速度的估计以及高分辨一维距离像的运动补偿，更有利于后续的ISAR成像和目标识别．
英文摘要：
By regarding the target echo as the cubic phase signal approximately, a compensation algorithm for space target based on the cubic phase function is proposed. Additionally, the Cramer-Rao bound of velocity and acceleration estimation is deduced with the purpose of evaluating the performance of the proposed algorithm. Numerical results show that the proposed algorithm can estimate the velocity and acceleration of the target and compensate the high resolution range profile under a lower signal to noise ratio, which is important for the following inverse synthetic aperture radar imaging and target recognition.
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