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基于局部最优匹配的斜视SAR子孔径成像算法

孙宁霄 吴琼之 孙林

孙宁霄, 吴琼之, 孙林. 基于局部最优匹配的斜视SAR子孔径成像算法[J]. 电子与信息学报, 2017, 39(12): 2851-2859. doi: 10.11999/JEIT170466
引用本文: 孙宁霄, 吴琼之, 孙林. 基于局部最优匹配的斜视SAR子孔径成像算法[J]. 电子与信息学报, 2017, 39(12): 2851-2859. doi: 10.11999/JEIT170466
SUN Ningxiao, WU Qiongzhi, SUN Lin. Local Optimal Matching Algorithm for Subaperture Imaging of Squint Synthetic Aperture Radar[J]. Journal of Electronics & Information Technology, 2017, 39(12): 2851-2859. doi: 10.11999/JEIT170466
Citation: SUN Ningxiao, WU Qiongzhi, SUN Lin. Local Optimal Matching Algorithm for Subaperture Imaging of Squint Synthetic Aperture Radar[J]. Journal of Electronics & Information Technology, 2017, 39(12): 2851-2859. doi: 10.11999/JEIT170466

基于局部最优匹配的斜视SAR子孔径成像算法

doi: 10.11999/JEIT170466

Local Optimal Matching Algorithm for Subaperture Imaging of Squint Synthetic Aperture Radar

  • 摘要: 斜视合成孔径雷达(Synthetic Aperture Radar, SAR)能够对雷达平台的侧前或侧后方区域进行观测,极大地增加了雷达的探测范围和灵活性。针对斜视SAR子孔径成像,该文提出一种基于局部最优匹配准则的成像算法。该算法在针对某方位频率构造对应的距离徙动校正、2次距离压缩以及方位补偿函数时,以位于该方位频率处的点目标得到最佳匹配为准则,不同于传统方法的以方位中心点获得最佳匹配为准则,从而能够避免距离方位中心较远的目标的失配,有效地改善了方位边缘区域的聚焦效果。文中通过点目标仿真验证了该算法的有效性。
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出版历程
  • 收稿日期:  2017-05-16
  • 修回日期:  2017-10-07
  • 刊出日期:  2017-12-19

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