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A residual range cell migration correction algorithm for bistatic forward-looking SAR

机译:双基地前瞻性SAR的残差单元格偏移校正算法

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For bistatic forward-looking synthetic aperture radar (BFSAR), images are often blurred by uncompensated radar motion errors. To get refocused images, autofocus is a useful postprocessing technique. However, a severe drawback of the autofocus algorithms is that they are only capable of removing one-dimensional azimuth phase errors. In BFSAR, motion errors and approximations of imaging algorithms introduce residual range cell migration (RCM) on BFSAR data as well. When residual RCM is within a range resolution cell, it can be neglected. However, the residual migration, which exceeds a range cell, is increasingly encountered as resolution becomes finer and finer. A novel residual RCM correction method is proposed in this paper. By fitting the low-frequency phase difference of adjacent azimuth cells, residual RCM of each azimuth cell can be corrected precisely and effectively. Simulations and real data experiments are carried out to validate the effectiveness of the proposed method.
机译:对于双基地前视合成孔径雷达(BFSAR),图像经常会由于未补偿的雷达运动误差而变得模糊。要获得重新聚焦的图像,自动聚焦是一种有用的后处理技术。然而,自动聚焦算法的严重缺点是它们仅能够消除一维方位角相位误差。在BFSAR中,运动误差和成像算法的近似值也会在BFSAR数据上引入剩余距离像元迁移(RCM)。当残余RCM在距离分辨率单元内时,可以忽略不计。但是,随着分辨率越来越高,越来越多地遇到超出范围单元的残留迁移。提出了一种新的残差RCM校正方法。通过拟合相邻方位单元的低频相位差,可以精确有效地校正每个方位单元的残余RCM。仿真和实际数据实验进行了验证该方法的有效性。

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