Frequency hopping inverse synthetic aperture radar imaging with relative coherent processing and compressed sensing

An imaging algorithm with relative coherent processing (RCP) and compressed sensing (CS) was proposed and used for frequency hopping inverse synthetic aperture radar(FH-ISAR) imaging. It can be used to enhance the quality of FH-ISAR images. The basic concept of FH-ISAR and its imaging principle was detailed analyzed and the main formulas were given. Simulations were executed and all results proved that, the algorithm was correct and effective; the precision of range alignment was greatly improved with relative coherent processing, and the image blurring caused by frequency hopping and target maneuvering were reduced by compressed sensing. It has a great promising in FH-ISAR imaging.