Imaging method with compressed SAR raw data based on Compressed Sensing

The amount of echo data is huge in SAR imaging with high resolution. To solve this problem, the imaging method with compressed SAR echo data based on Compressed Sensing is proposed. Firstly, the echo measurement matrix is designed by the waveform-matched rules. Secondly, when the target scene is sparse after the discrete cosine transform, the sparse transformed matrix is obtained by constructing the 2D-DCT equivalent matrix. Then the smoothing L0 algorithm is utilized to reconstruct the target scene. The amount of raw data collected by the proposed method is much less than that of the conventional imaging method. Finally, the effectiveness of the proposed method is proved by the simulation results.