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中文摘要：
研究了一种基于信号全变差的合成孔径雷达图像自聚焦算法．该方法从复图像域出发，通过在距离压缩相位历史域引入相位误差模型，改变图像的聚焦程度直至一维像的全变差达到最大，从而完成误差校正．同最小熵法相比，该自聚焦算法计算量较少，更易实现．
英文摘要：
A novel autofocus algorithm for synthetic aperture radar （SAR） images is presented based on total variation. The method, which starts with a complex phase-degraded SAR image, after a phase errors model is introduced into the range-compressed phase-history domain, carries out phase errors correction by changing the focus until the total variation of the azimuth profile is maximized. Compared with the minimum entropy autofocus algorithm, this autofocus algorithm is of less computational complexity and easy to implement. The simulation and processing results of the measured data show the validity of the proposed method.
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