Processing Missile-Borne SAR Data by Using Cartesian Factorized Back Projection Algorithm Integrated with Data-Driven Motion Compensation

Due to the independence of azimuth-invariant assumption an echo signal, time-domain algorithms have significant performance advantages for missile-borne synthetic aperture radar (SAR) focusing with curve moving trajectory. The Cartesian factorized back projection (CFBP) algorithm is a newly proposed fast implementation which can avoid massive interpolations improve computational efficiency. However, it difficult combine effective and efficient data-driven motion compensation (MOCO) achieving high performance. In this paper, new MOCO developed under CFBP framework deal error problem SAR application. algorithm, spectrum compression implemented after process, images are transformed into spectrum-compressed domain. Then, analytical image obtained by utilizing wavenumber decomposition based on property induced carefully investigated. With spectrum, revealed that echoes from different scattering points aligned in same range phase becomes spatial invariant component compression. Based domain, accordingly accurate estimation compensation. Both simulations raw data experiment maneuvering highly-squint airborne provided analyzed, show algorithm.