Reshaped Window Iterative Super-Resolution Imaging Algorithm

To overcome the competition between the side lobe suppression and the main lobe spread in radar imaging, we introduce a super-resolution imaging algorithm based on the iterative processes of the reshaped window function. The side lobes of the target imaging are sensitively dependent on the structures of reshaped window function, and the main lobes, however, are not changed. One could obtain a super-resolution image by using the iterative process, which minimizes the energy between the radar images constructed from the different reshaped window functions. The experimental results of two cylinders agree with the analysis of electromagnetic theory, which verifies the new algorithm.