Inverse synthetic aperture radar imaging method of complex maneuvering target based on instantaneous autocorrelation function – chirp Fourier transform

Abstract

As the maneuverability of aerial targets increases, in the process of using traditional imaging algorithms to image complex maneuvering targets, the results obtained will inevitably appear defocus and blurring. In order to achieve high-resolution imaging of complex maneuvering targets, the inverse synthetic aperture radar (ISAR) imaging method for complex maneuvering targets based on instantaneous autocorrelation function-chirp Fourier transform (IAF-CFT) is proposed in this work. The method first uses IAF to reduce the order of echo, and then chirp Fourier Transform is used to estimate the echo parameters. Finally, the CLEAN technology is adopted to reconstruct the echo and get the result of ISAR imaging. The simulation results prove the effectiveness of this method.