Interferometric ISAR Imaging Using Compressed Sensing

Inhalt:
A moving target interferometric inverse synthetic aperture radar (In-ISAR) imaging method based on compressed sensing (CS) theory is proposed to solve the moving target location problem in conventional ISAR imaging. First, the CS theory is introduced into the moving target observation model and then the phase preserving property of the ISAR complex images obtained by CS is analyzed. Further, the processing of CS-based In-ISAR moving target interferometric angle orientation algorithm is presented. Finally, the validity if the proposed method in moving target imaging and location is verified by simulations. This paper extends the application of CS in ISAR imaging field.