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基于变迹滤波的MIMO-SAR图像分辨率增强技术
引用本文:徐光耀,刘永泽,许小剑.基于变迹滤波的MIMO-SAR图像分辨率增强技术[J].北京航空航天大学学报,2017,43(7):1313-1320.
作者姓名:徐光耀  刘永泽  许小剑
作者单位:北京航空航天大学电子信息工程学院,北京100083;中国人民解放军91336部队,秦皇岛066326;北京航空航天大学电子信息工程学院,北京,100083
摘    要:针对多输入多输出合成孔径雷达(MIMO-SAR)在近场目标散射特征诊断成像中,非正交旁瓣难以通过常规方法进行有效抑制的问题,分析了MIMO-SAR图像非正交旁瓣的产生机理,提出了基于空间变迹滤波(SVA)和三变迹处理相结合的旁瓣抑制方法。仿真和实验结果表明,本文方法不仅能很好地抑制距离向旁瓣,而且对于方位向非正交旁瓣也具有较好的抑制效果,提高了MIMO-SAR图像的二维分辨率和动态范围。

关 键 词:多输入多输出合成孔径雷达(MIMO-SAR)  旁瓣抑制  变迹滤波  空间变迹滤波(SVA)  三变迹滤波
收稿时间:2016-06-14

Enhanced resolution in MIMO-SAR imaging using apodization
XU Guangyao,LIU Yongze,XU Xiaojian.Enhanced resolution in MIMO-SAR imaging using apodization[J].Journal of Beijing University of Aeronautics and Astronautics,2017,43(7):1313-1320.
Authors:XU Guangyao  LIU Yongze  XU Xiaojian
Abstract:When the conventional methods of sidelobe suppression are used in multiple input multiple output synthetic aperture radar (MIMO-SAR) systems to generate images for diagnosing the near field scattering features of targets,non-orthogonal sidelobes can hardly be suppressed efficiently.In this paper,based on the generation mechanisms of the non-orthogonal sidelobes in near filed,an approach which combines spatially variant apodization (SVA) with tri-apodization was proposed to suppress the non-orthogonal sidelobes for MIMO-SAR images.Simulation and experimental results demonstrate that the sidelobes in down range as well as the non-orthogonal sidelobes in cross range are suppressed efficiently via the proposed approach.As a consequence,for MIMO-SAR images,the resolutions in both the down range and the cross range are improved remarkably while a higher dynamic range can be achieved.
Keywords:multiple input multiple output synthetic aperture radar (MIMO-SAR)  sidelobe suppression  apodization filtering  spatially variant apodization (SVA)  tri-apodization filtering
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