Investigation on Consistency Problem between Two ISAR Imaging Methods: Minimum Entropy Auto-focusing and Phase Compensation

Inverse synthetic aperture radar (ISAR) imaging is a powerful tool for acquiring two-dimensional scattering characteristics of moving target. However, some problems are still not solved well yet in minimum entropy method up now. One of them is in the lack of theory base on the inherent consistency between two-dimensional ISAR image entropy minimization and optimal phase compensation. In this paper, it is verified through mathematic deduction and simulation test that the solution corresponding to the residual translational phase being equal to zero should not be the relevant extreme points of ISAR image entropy, so as to demonstrate the fact that there is a definite difference between minimization of two-dimensional ISAR image entropy and optimal phase compensation