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变波门大斜视滑动聚束SAR成像关键技术分析

聂鑫

聂鑫. 变波门大斜视滑动聚束SAR成像关键技术分析[J]. 电子与信息学报, 2016, 38(12): 3122-3128. doi: 10.11999/JEIT160812
引用本文: 聂鑫. 变波门大斜视滑动聚束SAR成像关键技术分析[J]. 电子与信息学报, 2016, 38(12): 3122-3128. doi: 10.11999/JEIT160812
NIE Xin. Research on Key Technique of Highly Squinted Sliding Spotlight SAR Imaging with Varied Receiving Range Bin[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3122-3128. doi: 10.11999/JEIT160812
Citation: NIE Xin. Research on Key Technique of Highly Squinted Sliding Spotlight SAR Imaging with Varied Receiving Range Bin[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3122-3128. doi: 10.11999/JEIT160812

变波门大斜视滑动聚束SAR成像关键技术分析

doi: 10.11999/JEIT160812

Research on Key Technique of Highly Squinted Sliding Spotlight SAR Imaging with Varied Receiving Range Bin

  • 摘要: 大斜视高分辨率SAR成像中,改变开启波门的操作可以在保证距离测绘带宽度的情况下减小录取回波的数据率,滑动聚束的扫描模式可以在保证高分辨率的情况下扩大方位场景范围。但是变波门后只能获得交错的距离徙动曲线,而滑动聚束的扫描方式容易引起方位模糊。该文研究了变波门大斜视滑动聚束模式下SAR成像的关键技术,提出分子孔径升采样的解模糊算法以及基于空域波束分割的二级极坐标格式算法(PFA),将对波门变化的补偿融入运动补偿处理的过程中,通过先波束分割后子图像拼接的方法突破了PFA平面波前的近似对成像场景尺寸的限制,显著扩大了传统PFA的有效成像场景范围,使其适用于大斜视滑动聚束模式下的大场景成像。实测数据处理表明了算法对大场景变波门数据的有效性。
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出版历程
  • 收稿日期:  2016-07-28
  • 修回日期:  2016-11-09
  • 刊出日期:  2016-12-19

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