Abstract: Video synthetic aperture radar (SAR) is a new high frame rate radar imaging system, which can present the observation information of the target scene in the form of dynamic images, and has the characteristics of high frame rate and high resolution. The traditional frequency-domain imaging algorithm has high efficiency but poor adaptability, while the time-domain algorithm has strong adaptability, but it is difficult to achieve real-time imaging due to high computational complexity. To solve these problems, this paper proposes a high frame rate imaging and fast autofocus method for video SAR Based on CFBP. Firstly, the echo model of video SAR is established, and the aperture division configurations of high frame rate imaging are compared and analyzed. Then, the Cartesian coordinate multi-level backward projection algorithm is used for fast imaging of video SAR; Combined with the self focusing algorithm based on image sharpness criterion, the motion error of radar platform caused by airflow disturbance is compensated, so as to obtain a well focused and high frame rate video SAR image. Finally, the effectiveness of the proposed method is verified by single frame and multi frame imaging processing of the measured data.