A New Subaperture Nonlinear Chirp Scaling Algorithm for Real-Time UWB-SAR Imaging

This paper presents a new approach for high-resolution airborne SAR real-time imaging, which uses a subaperture nonlinear chirp scaling algorithm (NCSA) to accommodate the correction of the motion errors along track and cross track. The proposed algorithm is computationally efficient and can reduce the memory requirement by half with a great shorten of lag time before block processing. Simulation and real UWB-SAR data image formation show the validity of the proposed subaperture NCSA