一种用于条带式SAR的自聚焦算法

A New Approach to Autofocus Considering Strip Map SAR

本文将相位梯度法(Phase Gradient Algorithm,PGA)用于条带式合成孔径雷达(SAR)的自聚焦。根据条带SAR与聚束SAR回波信号差异并参考经典相位梯度法提出了一种适用于条带SAR的自聚焦算法--SPGA。用这种新的条带SAR自聚焦算法聚焦所得SAR图像不会发生传统条带SAR下PGA常有的拼接问题;同时由于相位误差曲而的引入,对于任何场景SPGA均能达到良好的聚焦效果。

Phase Gradient Algorithm （PGA） is accomodated to focus the StripMap SAR data in this article. A new approach to StripMap SAR autofocus, StripMap PGA（SPGA）, is developed based on the difference between the received signal of StripMap SAR and SpotLight SAR and the classic PGA is referenced. The focused SAR images from SPGAdoes not have the problem of the shift between the blocks which can be found in the images from the traditional StripMap autofocus method. SPGA can get well focused SAR images from more universal scene because of the employment of phase error surface.