Adaptive Super Resolution Array Radar Imaging based on Sparse Reconstruction and Effective Rank Theory

A super resolution array radar imaging method is proposed, in which sparse reconstruction method is applied to break through the Rayleigh resolution limit and effective rank theory is used to adaptively optimize the target reconstruction model. Performance of this method is investigated through a forward-looking radar imaging experiment. The results show that, compared with traditional array radar imaging method, the proposed method can improve the resolution by nearly twenty times in azimuth direction. Therefore, this target reconstruction method is a good solution to high-resolution imaging with a small number of array elements.