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In squinted synthetic aperture radar(SAR) imaging, the range-azimuth coupling requires precise range cell migration correction(RCMC). Moreover, for high-resolution airborne SAR, motion compensation(MOCO) becomes complicated as the squint angle increases, thereby degrading the performance of Dopplerdomain imaging algorithms. On the other hand, time-domain back-projection(BP) SAR imaging approaches are considered as optimal solutions to performing precise image focusing and MOCO. Among current BP algorithms,the fast factorized back-projection(FFBP) algorithm is one of the most essential representatives that achieve high-resolution images in an efficient manner. In this paper, the principle and applications of the FFBP algorithm are investigated through the derivation of the azimuth impulse response function(AIRF) of the resulting image.The phenomenon of spectrum displacement induced by motion errors in the BP image is presented and analyzed.Based on rigorous mathematical derivations, a modified FFBP algorithm is proposed to facilitate a seamless integration with motion compensation and accurate imagery of high-resolution highly squinted airborne SAR.Real data results confirm the effectiveness of the proposed approaches.
In a squared synthetic aperture radar (SAR) imaging, the range-azimuth coupling requires precise range cell migration correction (RCMC). Moreover, for high-resolution airborne SAR, motion compensation (MOCO) becomes complicated as the squint angle increases, so degrading the performance of Doppler domain imaging algorithms. On the other hand, time-domain back-projection (BP) SAR imaging approaches are considered as optimal solutions to perform precise images focusing and MOCO. Among current BP algorithms, the fast factorized back-projection algorithm is one of the most essential representatives that achieve high-resolution images in an efficient manner. In this paper, the principle and applications of the FFBP algorithm are investigated through the derivation of the azimuth impulse response function (AIRF) of the resulting image. The phenomenon of spectrum displacement induced by motion errors in the BP image is presented and analyzed. Based on rigorous mathematical derivations, am odified FFBP algorithm is proposed to facilitate a seamless integration with motion compensation and accurate imagery of high-resolution highly squined airborne SAR. Real data results confirm the effectiveness of the proposed approach.