中国激光, 2020, 47 (3): 0304005, 网络出版: 2020-03-12   

基于光度数据的低轨空间目标工作状态异常检测方法 下载: 859次

Anomaly Detection Method for Working Status of Low-Orbit Space Objects Based on Photometric Data
作者单位
1 航天工程大学研究生院, 北京 101416
2 航天工程大学航天指挥学院, 北京 101416
摘要
空间目标工作状态异常检测是空间态势感知(SSA)的重要内容,也是提高卫星监控效率、保障卫星正常工作的有效手段。针对低轨目标因运动速度较快、观测几何条件变化明显而导致的历史观测数据应用受限的问题,提出了一种基于动态时间规整(DTW)距离的空间目标异常检测方法。该方法结合太阳、目标、测站之间的相对几何关系、空间目标运动特性和空间目标光度学之间的关系,实现了对低轨空间目标运行状态及指向状态的快速诊断。最后利用所提方法分别对风云、GPS、天宫在7种不同工作状态下的光度测量数据进行了大量仿真计算。仿真结果表明,目标状态异常检测正确率达到了90%上,验证了所提方法的有效性。
Abstract
Detection of the anomaly associated with the working status of satellites is an important part of space situational awareness and is an effective methodology to improve the efficiency of satellite surveillance and ensure the normal operation of the satellites. Due to the fast speed of low-orbit objects and the obvious change of observation geometry, the application of historical observation data is limited. In this study, an anomaly detection method is proposed based on the dynamic time-structured distance by combining the geometrical relation of the Sun-object-observation station, the orbit characteristics of the satellites, and the photometric relation of the space objects to quickly detect the working status of the satellites. Finally, using the proposed method, some photometric data of Fengyun, GPS and Tiangong at seven working status are simulated. The results indicate that the accuracy rate of abnormal detection with respect to the working status of the space objects is more than 90%, verifying the effectiveness of the proposed method.

汪夏, 徐灿, 张峰, 李鹏. 基于光度数据的低轨空间目标工作状态异常检测方法[J]. 中国激光, 2020, 47(3): 0304005. Wang Xia, Xu Can, Zhang Feng, Li Peng. Anomaly Detection Method for Working Status of Low-Orbit Space Objects Based on Photometric Data[J]. Chinese Journal of Lasers, 2020, 47(3): 0304005.

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