Wide-angle ISAR Imaging Method Based on Entropy Minimization

Inverse synthetic aperture radar (ISAR) imaging with wide rotation angle can achieve high azimuth resolution, which is beneficial to target recognition and feature extraction. However, range migration of rotation center and migration through resolution cell (MTRC) will lead to energy leakage of scattering center and heavy image defocus. Therefore, a wide-angle ISAR imaging method based on entropy minimization is proposed in this paper. Firstly, the signal model of wide-angle ISAR imaging is analyzed, and then the wide-angle ISAR imaging model based on minimum entropy is established. The target motion parameters are solved by parrot optimizer, and the high resolution ISAR imaging with wide rotation angle is realized. Simulation results show the effectiveness of the proposed method.