对线性调频脉冲SAR的运动误差进行深入分析，并针对SAR非空变相位误差补偿问题，提出一种基于原始回波数据的Chirplet变换运动补偿算法。该算法采用Chirplet变换进行时频分析，以精确表征回波数据中的相位误差，利用最大似然估计提取出相位误差的调频率，进而求解出相位误差进行运动补偿。与PGA算法相比，该算法不需要依赖强散射点，在存在较大相位误差的情况下，能够获得更好的图像聚焦效果；与MD子孔径算法相比，该算法对每个点都进行调频率估计，估计得更为精细。最后，仿真实验和定量分析验证了该算法的有效性。

As the resolution of airborne synthetic aperture radar continues to improve， motion compensation has become a core link to ensure high-quality imaging. This paper conducts an in-depth analysis of the motion error of chirped pulse SAR， and proposes a Chirplet transform motion compensation algorithm based on original echo data to address the problem of non-space-variant phase error compensation of SAR. This algorithm uses Chirplet transform for time-frequency analysis to accurately characterize the phase error in the echo data， uses maximum likelihood estimation to extract the modulation frequency of the phase error， and solves the phase error for motion compensation. Compared with the PGA algorithm， this algorithm does not need to rely on strong scattering points and can achieve better image focusing performance in the presence of large phase errors. Compared with the MD subaperture algorithm， this algorithm performs frequency modulation rate estimation for each point， resulting in a more precise estimation. Finally， simulation experiments and quantitative analysis verified the effectiveness of the algorithm.