A novel imaging method for highly squinted SAR based on compressed sensing

The amount of echo data is huge in highly squinted synthetic aperture radar (SAR) imaging with high resolution. To solve this problem, the imaging method for highly squinted SAR with under-sampled echo data based on Compressed Sensing is put forward. Firstly, a Non-linear Chirp Scaling (NCS) imaging method with the Nyquist-sampled echo data is proposed. And then, the NCS operator is established based on the imaging method. Combining the NCS operator and Compressed Sensing theory, a novel highly squinted SAR imaging scheme is formulated. With the proposed method, just a small amount of imaging data is required for highly squinted SAR imaging. Finally, the effectiveness of the proposed method is proved by the imaging simulations.