摘要
针对目前空间目标光电观测的自动跟踪过程中,容易受到恒星干扰等影响丢帧后失跟的问题,从概率观点分析了光电跟踪的两个环节:状态外推和实时采样.根据估计理论,建立了一种新的光电跟踪方法.方法利用卡尔曼滤波数据融合的本质提高外推的稳健性,通过均值漂移方法实现跟踪窗口的调整.仿真试验表明,新方法能够有效的降低跟踪中干扰的影响,提高跟踪的稳健性.
The electro-optical tracking of the space object is often interrupted by the dropped frames caused by the occlusion of stars. In this paper, two stages of the tracking process, predicting as well as sampling, are studied in the probabilitic point of view. Base on the theory of estimation, a new method is proposed by employing the Kalman filter for robust predicting due to the characteristic of the data fusion, and the mean shift process for the adjustment of the tracking window. Corresponding experiment shows that the method can effectively reduce the impact of interference, and improve the robustness during the tracking process.
出处
《天文学报》
CSCD
北大核心
2012年第2期145-152,共8页
Acta Astronomica Sinica
基金
国防科工局空间碎片专题研究项目(09103
K0102410)资助
关键词
航天器
望远镜
方法
统计
技术
图像处理
space vehicles, telescopes, methods： statistical, techniques： image processing
作者简介
wangxin@pmo．ac．cn
