| 基于SVA的斜视SAR图像旁瓣抑制算法 |
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| 引用本文： | 郑召玺,郝明.基于SVA的斜视SAR图像旁瓣抑制算法[J].电子测量技术,2017,40(3):77-81. |
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| 作者姓名： | 郑召玺 郝明 |
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| 作者单位： | 南京电子技术研究所 南京 210000 |
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| 摘 要： | 针对已有的空变切趾滤波(SVA)算法不能有效抑制斜视合成孔径雷达(SAR)图像旁瓣的问题,提出一种基于斜视谱矫正的斜视SVA算法,提高了SVA算法对斜视SAR图像的旁瓣抑制效果.首先分析了斜视SAR图像的频域支撑形状,给出SVA算法对于斜视SAR图像旁瓣抑制效果不良的原因;然后提出了斜视SVA算法,该算法通过斜视SAR图像的频谱矫正,将方位向旁瓣矫正到与雷达运动方向平行的轴向上,分别对距离向和方位向旁瓣进行SVA处理,得到旁瓣抑制之后的结果;最后通过仿真数据处理结果的验证了斜视SVA算法的有效性.
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| 关 键 词： | 合成孔径雷达 旁瓣抑制 空变切趾 斜视角 |
Method based on SVA for squinted SAR images sidelobe suppression |
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| Zheng Zhaoxi and Hao Ming.Method based on SVA for squinted SAR images sidelobe suppression[J].Electronic Measurement Technology,2017,40(3):77-81. |
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| Authors: | Zheng Zhaoxi and Hao Ming |
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| Affiliation: | Nanjing Institute of Electronic Technology, Nanjing 210000, China and Nanjing Institute of Electronic Technology, Nanjing 210000, China |
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| Abstract: | This paper aimed at the problem of existing method of spatially variant apodization (SVA) can't effectively suppress the sidelobe of squint synthetic aperture radar (SAR) image,proposed a SVA algorithm based on the squint spectrum correction,improved the sidelobe suppression effect of SVA algorithm for squint SAR images.Firstly,the frequency domain shape of the SAR image is analyzed,and the reason why the poor effect of SVA algorithm for squint SAR image sidelobe suppression is given.Then,the squint SVA algorithm is proposed.This algorithm is based on the spectral correction of squint SAR images,through correcting the azimuth sidelobe to the parallel direction of the radar motion,then using SVA algorithm to process the sidelobe along the range direction and azimuth direction,getting the result of sidelobe suppression.Finally,the effectiveness of the squint SVA algorithm is verified by the simulation results. |
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| Keywords: | synthetic aperture radar sidelobe suppression spatially variant apodization squint angle |
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