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An Improved Imaging Algorithm for High Resolution Spaceborne Squinted Sliding Spotlight SAR

机译:一种改进的高分辨率空间斜视滑动聚光灯SAR的成像算法

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An improved imaging algorithm is proposed for processing high resolution spaceborne squinted sliding spotlight SAR data in this paper, which includes four steps, namely, azimuth preprocessing, coarse focusing, fine focusing and geometry correction. In the azimuth preprocessing, a linear range walk correction (LRWC) filter is used to mitigate the two-dimensional (2-D) spectral skew, and a modified subaperture method is performed to increase the size of the subaperture data, and obtain the 2-D spectral without aliasing. Then the modified ω-k kernel is used to realize coarse focusing. However, the equivalent velocities vary both in range and azimuth, caused by the earth rotation and LRWC, resulting in the targets unfocused except the target at the center position. Thus, the fine focusing step is applied to compensate the residual phase errors. Finally, the geometric correction is adopted to correct the geometrical distortion. The computer simulation results verify the validity of the proposed imaging algorithm.
机译:一种改进的成像算法用于处理高分辨率星载眯起眼睛在本文中,它包括四个步骤,即,方位角预处理滑动聚光灯SAR数据,粗聚焦,精聚焦和几何校正。在方位预处理,线性范围步行校正(LRWC)滤波器被用来减轻二维(2-d)的频谱歪斜,并执行修改的子孔径的方法来增加子孔径的数据的大小,并且获得2 -D频谱无混叠。然后将改性的ω-K内核用来实现粗聚焦。然而,等效速度变化都在距离和方位,所造成的地球自转和LRWC,造成未聚焦的目标在中央位置以外的目标。因此,精细聚焦步骤被施加到补偿残留相位误差。最后,几何校正采用以校正几何畸变。计算机仿真结果验证了成像算法的有效性。

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