采用时序多谱段信号分析的空间目标运动状态辨识  

Motion Status Identification of Space Object by Analyzing Time Series Multi-Spectral Signal

作　　者：侯晴宇[1] 王付刚 智喜洋[1] 曾诚宇 

机构地区：[1]哈尔滨工业大学空间光学工程研究中心,黑龙江哈尔滨150001 [2]东方红卫星公司,北京100081

出　　处：《光学学报》2015年第4期1-8,共8页Acta Optica Sinica

基　　金：国家自然科学基金(61007008)

摘　　要：为表征在轨卫星的自旋稳定、三轴稳定和"翻滚"三种运动状态,提出了一种基于可见光时序多谱段信号分析的目标运动状态辨识方法,分析了目标运动状态与观测星探测视场内时变的目标表面材料间的对应关系,以及材料属性/种类与时序双色比聚类信息之间的关联性。提出了基于时序双色比特征高斯混合聚类的目标表面材料种类判别算法以及目标运动状态辨识算法。综合考虑卫星的背景特性、材料特性、结构特性、轨道特性,对三种运动状态卫星的多谱段信号进行了数学仿真,对目标运动状态辨识算法进行了验证,证明了所提出算法的有效性。To characterize the motion statuses of spin- stabilized, three- axis stabilized and＂tumbling＂for non- resolved satellites, a method of the motion status indentification based on time series visible multispectral signal is proposed. The corresponding relationship is analyzed between motion statuses and timevariant types of satellite surface material as well as the correlation between material characteristics and the clustering information on the time series dual- color ratio. A discrimination algorithm on types of surface material and an identification algorithm on motion status are proposed on the basis of the time series dualcolor ratio feature in Gaussian mixture clustering. Considering characteristics of background, materials,structure and orbit of the satellite, mathematical simulations for time series multi- spectral signals generated from satellites with the above three motion statuses are operated. The identification algorithm is validated based on the simulated data, and results show that the proposed algorithm is effective.

关 键 词：空间光学 运动状态辨识 反射信号 多谱段 卫星 

分 类 号：O433.1[机械工程—光学工程]