霍超颖, 殷红成, 邢笑宇, 满良. 基于雷达图像特征的空间目标载荷指向估计方法[J]. 电波科学学报, 2019, 34(1): 45-51. doi: 10.13443/j.cjors.2018091101
      引用本文: 霍超颖, 殷红成, 邢笑宇, 满良. 基于雷达图像特征的空间目标载荷指向估计方法[J]. 电波科学学报, 2019, 34(1): 45-51. doi: 10.13443/j.cjors.2018091101
      HUO Chaoying, YIN Hongcheng, XING Xiaoyu, MAN Liang. Attitude direction estimation for space target antenna load based on radar image features[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2019, 34(1): 45-51. doi: 10.13443/j.cjors.2018091101
      Citation: HUO Chaoying, YIN Hongcheng, XING Xiaoyu, MAN Liang. Attitude direction estimation for space target antenna load based on radar image features[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2019, 34(1): 45-51. doi: 10.13443/j.cjors.2018091101

      基于雷达图像特征的空间目标载荷指向估计方法

      Attitude direction estimation for space target antenna load based on radar image features

      • 摘要: 载荷指向信息是空间目标在轨工作状态感知的重要依据,文中提出了一种基于逆合成孔径雷达(inverse synthetic aperture radar,ISAR)图像中的轴向特征匹配与重建的空间目标载荷指向估计方法,可以反演出空间目标天线载荷的具体指向及观测区域.该方法首先利用Randon变换和极值点检测等从ISAR图像中提取出天线载荷的两个轴线方向,然后再将该轴向特征与仿真特征模板库进行匹配,实现天线载荷轴向姿态角的粗略估计,同时利用三维矢量到二维平面的几何转换关系,建立载荷轴向在轨道坐标系与ISAR成像坐标系之间的姿态解算公式,根据姿态角粗略估计结果及三维重建矩阵实现载荷轴向及指向姿态的优化求解.基于动态仿真数据验证了该方法的有效性.

         

        Abstract: The direction information of antenna load is an important basis for the perception of space target in orbit. In this paper, an attitude direction estimation method of antenna load based on axial feature matching and reconstruction is proposed, so the direction and observation area of the antenna load can be reversed. First, the two axis directions of the antenna load are extracted from the ISAR image by Randon transform and extreme value detection. Then, the axial feature is matched with the simulation feature template library, and the rough attitude of antenna load can be estimated. Third, using the geometric projection relation of 3D vector, the formula for calculation the attitude between the orbit coordinate system and the imaging coordinate system is established. Finally, the axial and direction of antenna load can be solved exactly based rough estimation result and geometric projection matrix. The validity of the method is verified by dynamic simulation data.

         

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