A Robust Autofocus Algorithm for the 3-D Target Feature Extraction in Curvilinear SAR

摘要

In this paper, a new autofocus approach is proposed to compensate for the aperture and phase errors in curvilinear synthetic aperture radar (referred to as CLSAR) and to extract the three-dimensional (3-D) target features. Numerical examples are provided to illustrate the performance of the proposed algorithm.