The Phase Gradient Autofocus (PGA) algorithm has been widely used in Spotlight Synthetic Aperture Radar (SAR) to remove motion-induced blurs in the images. The PGA algorithm has been proven to be a superior autofocus method. PGA assumes a nar

Phase-Gradient autofocus (PGA) technique is robust over a wide range of imagery and phase error functions but the convergence usually requires 4-6 iterations. In this paper, we propose to speed up the estimation convergence by selectively inc

功能[DATAOUT]= PGA（DATAIN），执行相位梯度 ％ISAR自动对焦。 ％ ％DATAIN ISAR范围内的实时数据。 DATAOUT％范围内的实时数据已被删除平移 ％相位误差。 ％ ％参考： ％D.E.瓦尔，P.H.艾歇尔，特区吉利亚，C.V. Jakowatz，“相 ％梯度自聚焦一个强大的工具，用于高分辨率SAR相 ％修正“，硕士论文。航空。＆电子系统，第30卷，3，1994。-function [dataout]=P

相位梯度自聚焦算法（PGA）的matlab程序实现，合成孔径雷达中最经典最常用的自聚焦和运动误差补偿方法-The phase gradient autofocus algorithm (PGA) of matlab implementation, the most classic of the most commonly used in synthetic aperture radar self-focusing and the motion error compensation method

带GUI界面的自动计算绩点PGA的演示程序。 -GUI interface with the automatic calculation of performance points PGA demo program. GUI interface with the automatic calculation of performance points PGA demo program.