Imaging Method with Super Resolution for Inverse Synthetic Aperture Radar with Short Aperture Data Based on Iterative Adaptive Processing Approach
For the problem of poor imaging quality of short synthetic aperture time ISAR data,an imaging method with super resolution for ISAR with short aperture data based on missing-data iterative adaptive processing approach(MIAA)is proposed in this paper,which expands the azimuthal data to improve the imaging quality.This method uses MIAA to expand the data in the azimuth direction of the ISAR echo data,so as to increase the azimuth length of the data and enhance the imaging quality.The simulations and measured data both verify that the method can effectively extend the echo data in azimuth and improve the imaging quality under segmental aperture.
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