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

Chunyan Mao, Junfeng Wang, Lei Tao
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引用次数: 2

Abstract

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.
一种新的任意多普勒质心SAR图像旁瓣抑制算法
合成孔径雷达(SAR)图像通常需要通过对频域孔径加权进行旁瓣控制或消隐。当目标场景包含舰船或建筑物等物体时,这一点非常重要,因为它们具有非常大的雷达横截面。人们在控制副瓣方面做了很多努力,提出了许多去尖方法,如空间变异去尖(SVA)。然而,这些算法忽略了多普勒质心,当雷达具有径向速度时,多普勒质心可能不为零。本文提出了一种抑制SAR图像副瓣的新算法。该算法类似于SVA方法。但由于考虑了非零多普勒质心,该算法比原有的SVA方法具有更好的性能。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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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