中国空间科学技术2012，Vol.32Issue(5)：40-46,68,8.DOI:10.3780/j.issn.1000-758X.2012.05.007
基于预报偏差的LEO航天器轨道异常检测
LEO Spacecraft Orbit Anomaly Detection Based on Prediction Dispersion
张涛涛 1白显宗 1郝嘉 1陈磊1
作者信息
- 1. 国防科学技术大学航天与材料工程学院,长沙 410073
- 折叠
摘要
Abstract
A detection method based on prediction dispersion was presented to deal with LEO spacecraft orbit anomaly caused by maneuvers, collisions, and atmospheric environment. The semi-major axis and inclination were selected as orbit characteristic parameters. Prediction values of orbit characteristic parameters can be achieved by orbit extrapolation based on SGP4 model secular term. After data smoothing process, prediction dispersion sequence can be obtained by calculating the difference between prediction and catalog values of the characteristic parameters. The orbit anomaly was detected through the prediction dispersion data based on Mahalanobis distance. The detection results of Terra in 2010 is consistent with the maneuver history published by NASA, which indicate that the method presented in this paper can detect the times, epoch and type of orbit anomaly and can be widely applied to the space surveillance and space situational awareness.关键词
低地球轨道/轨道异常/SGP4模型/马氏距离/两行轨道要素/航天器Key words
Low earth orbit Orbit anomaly Simplified general perturbation 4 model Mahalanobis distance Two line elements Spacecraft引用本文复制引用
张涛涛,白显宗,郝嘉,陈磊..基于预报偏差的LEO航天器轨道异常检测[J].中国空间科学技术,2012,32(5):40-46,68,8.
