An experimental study of a new entropy-based SAR autofocus technique

Abstract

The stage by stage approaching (SSA) entropy minimization approach to synthetic aperture radar (SAR) autofocus is a modern and innovative technique, which, to date, has not been compared with other approaches. We provide such a comparison and show that SSA is a most promising autofocus method. We evaluate the merit of this algorithm through comparison with the established phase gradient autofocus (PGA) algorithm on both simulated and real SAR data. Our results show that SSA works well in comparison to the state-of-the-art PGA. However, SSA is more computationally demanding.