Image Formation Algorithms And Compensation Of Airborne Synthetic Aperture Radar

High-resolution air-borne Synthetic Aperture Radar (SAR) image formation algorithms and its motion compensation are the main research content of this paper. The author mainly finished several following work. Firstly, SAR's basic principles are introduced in detail and some correlative ideas are analyzed and researched systematically. Secondly, two familiar image formation algorithms, Chirp Scaling algorithm (CSA) and Frequency Scaling algorithm (FSA), are discussed detailedly. From several sides, such as algorithms principles, realizing processes and applicable conditions, these two algorithms' characters are analyzed and compared in theory and practice. Thirdly, the influence of phase errors to image quality is analyzed qualitatively and Doppler parameters estimation's necessity and their algorithms are studied. Phase Gradient auto-focus algorithm (PGA) and Rank One Phase Estimation auto-focus algorithm (ROPE) satisfying high-resolution air-borne SAR image formation needs are analyzed. Aimed at disadvantages of PGA and ROPE algorithms, Improved Rank One Phase Estimation auto-focus algorithm (IROPE) is introduced. At last, combining FSA and IROPE algorithms, using air-borne SAR actual flight data, the algorithms' feasibility and validity are validated.