一种自聚焦的弹载SAR成像方法

针对传统聚束式合成孔径雷达(SAR)成像算法对弹载SAR运动误差补偿困难的问题,该文提出采用相位梯度自聚焦算法(PGA)实现导弹成像过程中的相位误差校正。该方法利用方位滑窗对各像素点进行质量评估,从而挑选出质量最好的孤立特显点用于相位误差估计,并通过对相位误差的迭代修正获得其估计值。该文研究的PGA算法是非模型的相位误差估计方法,因此对任意阶相位误差都有非常好的自聚焦性能。理论和成像仿真结果表明,该方法具有运算量小、收敛速度快和估计精度高的特点。

PGA-based Autofocus Method for Missile-borne SAR Imaging

Based on the problem that the traditional spotlight synthetic aperture radar(SAR) imaging algorithms have difficulties in compensating the motion error of a missile-borne SAR,this paper proposes to utilize the phase gradient algorithm(PGA) to achieve missile-borne SAR's phase error correction.This method evaluates the quality of each pixel in the image by sliding window in the azimuth direction to select the high-quality scatters for the phase error estimation,and then obtains the estimation phase error by ...