Airborne circular stripmap synthetic aperture radar (CSSAR) has the advantages of short revisit time and large coverage, and thus is an attractive tool for wide-area surveillance and ground moving-target indication (GMTI). To enhance the CSSAR/GMTI system's surveillance capability and moving-target detection performance, an efficient imaging algorithm is proposed. The proposed algorithm can finely focus the stationary scene and coarsely focus multiple moving targets simultaneously without a priori knowledge of the targets' motion parameters and position parameters. Moreover, the proposed algorithm is interpolation free and can be efficiently implemented using only complex multiplications and fast Fourier transforms. Simulation results validate the proposed algorithm.Introduction: Synthetic aperture radar (SAR)/ground moving-target indication (GMTI) systems combine the capability of imaging of the observation scene and the detection of ground moving targets, and have been widely used in civilian traffic monitoring and military surveillance [1]. However, the traditional stripmap SAR/GMTI systems suffer from long revisit time and small coverage. Airborne circular stripmap SAR (CSSAR) has recently received increased attention because of its short revisit time and large coverage [2]. However, the combination of the airborne CSSAR and GMTI is rarely studied.As is well known, if a stationary scene imaging algorithm is used to image the observation scene, the stationary scene will be finely focused; however, due to the incorrect range cell migration (RCM) correction (RCMC), the moving targets will appear smeared in the image with considerable loss of the signal-to-clutter-noise ratio (SCNR), which will impair the performance of moving-target detection. To address this problem, an efficient imaging of airborne CSSAR/GMTI systems is proposed in this Letter. The proposed algorithm can finely focus the stationary scene and coarsely focus multiple moving targets simultaneously without a priori knowledge of the targets' motion parameters and position parameters. The coarsely focused targets can significantly increase the SCNR, and thus will facilitate the subsequent moving-target detection and isolation processes, which allows a more precise focusing for the individual moving target.