Moving target InISAR imaging and location based on compressed sensing

A new moving target interferometric inverse synthetic aperture radar (InISAR) imaging method based on compressed sensing (CS) theory is proposed to solve the moving target location problem in traditional inverse synthetic aperture radar (ISAR) image. Firstly, the CS theory is introduced into moving target ISAR imaging model, and then the phase preserving property of the ISAR complex images obtained through CS theory is analyzed against the signal noise ratio(SNR). Further, the implementation process of CS based InISAR moving target interferometric angle orientation algorithm is presented. Finally, the validity of the proposed method in moving target imaging and location is verified by simulation and practical application. This research expands the application of CS theory in ISAR.