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基于最小二乘估计的InISAR空间目标三维成像方法

毕严先 魏少明 王俊 毛士艺

毕严先, 魏少明, 王俊, 毛士艺. 基于最小二乘估计的InISAR空间目标三维成像方法[J]. 电子与信息学报, 2016, 38(5): 1079-1084. doi: 10.11999/JEIT151000
引用本文: 毕严先, 魏少明, 王俊, 毛士艺. 基于最小二乘估计的InISAR空间目标三维成像方法[J]. 电子与信息学报, 2016, 38(5): 1079-1084. doi: 10.11999/JEIT151000
BI Yanxian, WEI Shaoming, WANG Jun, MAO Shiyi. Interferometric ISAR Imaging for 3-D Geometry of Uniformly Rotating Targets Based on Least Squares Estimation Method[J]. Journal of Electronics and Information Technology, 2016, 38(5): 1079-1084. doi: 10.11999/JEIT151000
Citation: BI Yanxian, WEI Shaoming, WANG Jun, MAO Shiyi. Interferometric ISAR Imaging for 3-D Geometry of Uniformly Rotating Targets Based on Least Squares Estimation Method[J]. Journal of Electronics and Information Technology, 2016, 38(5): 1079-1084. doi: 10.11999/JEIT151000

基于最小二乘估计的InISAR空间目标三维成像方法

doi: 10.11999/JEIT151000
基金项目: 

国家自然科学基金(61171122, 61201318, 61501011, 61501012)

Interferometric ISAR Imaging for 3-D Geometry of Uniformly Rotating Targets Based on Least Squares Estimation Method

Funds: 

The National Natural Science Foundation of China (61171122, 61201318, 61501011, 61501012)

  • 摘要: InISAR系统能够在短观测时间内实现对目标的3维成像,在目标识别和分类中有广泛应用。但是ISAR成像平面不仅取决于目标相对雷达的空间位置,还和目标的运动情况有关。针对空间平稳运动目标,该文利用互相垂直的L型基线构成双通道InISAR系统,对各天线接收到的回波分别采用各自的参考距离进行聚焦处理,采用传统的距离-多普勒算法得到目标散射点2维像,通过提取各散射点的干涉相位和多普勒信息,采用最小二乘方法对目标的有效转动角速度大小和方向进行估计,进而估计出散射点的3维位置,实现目标3维成像。仿真实验验证了所提方法的有效性和鲁棒性。
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  • 被引次数: 0
出版历程
  • 收稿日期:  2015-09-08
  • 修回日期:  2016-02-25
  • 刊出日期:  2016-05-19

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