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A New Sidelobe Suppression Algorithm for SAR Images with an Arbituary Doppler Centroid

机译:一种新的任意多普勒质心SAR图像旁瓣抑制算法

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Synthetic aperture radar (SAR) imagery usually requires sidelobe control or apodization, via weighting the frequency domain aperture. This is important when the target scene contains such objects as ships or buildings, which have very large radar cross sections. Much effort has been made to control sidelobes and many apodization methods, like the spatial variant apodization (SVA), are presented. However, these algorithms ignore the Doppler centroid, which may not be zero when the radar has a radial velocity. In this paper, a new algorithm is presented to suppress the sidelobes in SAR images. This algorithm is similar to the SVA method. However, since it considers the nonzero Doppler centroid, this algorithm has better performance than the original SVA method. The results of simulated data and field data indicate the advantage of the algorithm over the traditional SVA algorithm.
机译:合成孔径雷达(SAR)图像通常需要通过加权频域孔径来控制旁瓣或切趾。当目标场景包含具有很大雷达横截面的物体(例如船舶或建筑物)时,这一点很重要。已经进行了很多努力来控制旁瓣,并且提出了许多切趾方法,例如空间变异切趾(SVA)。但是,这些算法忽略了多普勒质心,当雷达具有径向速度时,该质心可能不为零。本文提出了一种新的抑制SAR图像旁瓣的算法。该算法类似于SVA方法。但是,由于考虑了非零的多普勒质心,因此该算法的性能要优于原始的SVA方法。仿真数据和现场数据的结果表明该算法优于传统的SVA算法。

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