中文摘要：

通过发射一组具有随机脉冲重复间隔（PRI）的线性调频信号,并对经过去斜率（Deramp）处理的回波信号随机下采样,可以得到目标的二维随机观测回波数据.本文通过分析该类回波信号的模型和信号的稀疏性,针对IS-AR（Inverse Synthetic Aperture Radar）二维压缩感知成像技术提出了一种运动补偿算法.实测数据处理结果表明,本文提出的算法可以有效地针对ISAR二维随机观测回波数据实现运动补偿.

英文摘要：

Transmitting a group of chirp signal with random PRI（Pulse Repetition Interval） and down-sampling echoes after deramp processing,we get the 2-dimensional sparse echoes of the target and process the 2-dimensional sparse echoes with compressed sensing method.We utilize this method to improve the efficiency of the ISAR imaging system and also decrease the data rate of the system.A new motion compensation algorithm is put forward through the analysis on the signal model.The new algorithm includes range alignment and phase compensation procedures.The minimizing the entropy of the average range profile method is implemented in the range alignment procedure,while the eigenvector method is used to accomplish phase correction procedure.The presented results show that this algorithm can realize motion compensation according to the 2-dimensional sparse echoes effectively.