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.