本文阐述一种用于高分辨合成孔径雷达(SAR)运动目标成像的数学处理算法。目标相对于数据收集平台可有任意的平动和转动分量。该算法要求在目标图象中至少有三个强点;来自这些点的信号用来估计末知目标的运动参数。在这些估计的基础上,相位补偿和数据格式消除了运动引起的相位误差。该算法在VAX计算机上实现,并用于处理模拟和真实的合成孔径雷达运动目标数据。结果和模拟数据一起给出。 This article describes a mathematical processing algorithm for imaging high-resolution synthetic aperture radar (SAR) moving targets. The target can have any translational and rotational components relative to the data collection platform. The algorithm requires at least three strong points in the target image; the signals from these points are used to estimate the motion parameters of the unknown target. Based on these estimates, phase compensation and data format eliminate motion-induced phase errors. The algorithm is implemented on the VAX computer and is used to process both simulated and true SAR data. The result is given together with the simulation data.