HIGH RESOLUTION ISAR IMAGING METHOD BASED ON SPECTRUM ESTIMATION THEORY

Based on the imaging model, this paper deduces the relationship between ISAR imaging and spectrum estimation, and puts forward a high resolution ISAR imaging method according to modern spectrum estimation theory, which can break through the limitation of data length, exceed resolution without increasing signal bandwidth and synthetic aperture, and effectively suppress side lobe of the imaging results. Compared with traditional RD and classical sparse imaging algorithms, the proposed method has the advantages of high resolution, low side lobe and high efficiency.