Analysis of the limit to superresolution in real aperture scanning radar

Iterative deconvolution is an effective method of achieving high azimuth resolution in real aperture scanning radar. However, the performance is seriously limited when SNR is low. The application area and processing efficiency are affected by unreasonable iterative. Therefore, correct understanding the ability of super-resolution signal recovery is the premise to achieve super-resolution at low SNR. In this paper, the distance and position change of the recovered signals in high-dimension are studied based on the vector decomposition of azimuth echo. Besides, the process of signal recovery and the limit of super-resolution performance in iteration are analyzed. The experiential formula of the super-resolution limit is then derived. Finally, simulations are given to verify the theoretical analysis.