[1] |
BAI X, LIAO C, PAN X, et al. Mining Two-line Element Data to Detect Orbital Maneuver for Satellite[J]. IEEE Access, 2019,7:129537-129550.
doi: 10.1109/Access.6287639
|
[2] |
SONG W D, WANG R L, WANG J. A Simple and Valid Analysis Method for Orbit Anomaly Detection[J]. Advance in Space Research, 2012,49(2):386-391.
doi: 10.1016/j.asr.2011.10.007
|
[3] |
LEMMENS S, KRAG H. Two-line-elements-based Maneuver Detection Methods for Satellites in Low Earth Orbit[J]. Journal of Guidance, Control, and Dynamics, 2014,37(3):860-868.
doi: 10.2514/1.61300
|
[4] |
CHARLOTTE S, BRYANT K J, KESELMAN G, et al. A Novel Method for Satellite Maneuver Prediction [C]//The 2016th Advanced Maui Optical and Space Surveillance Technologies Conference. Maui: Maui Economic Development Board, 2016.
|
[5] |
LI T, CHEN L. Historical-orbital-data-based Method for Monitoring the Operational Status of Satellites in Low Earth Orbit[J]. Acta Astronautica, 2018,151:88-94.
doi: 10.1016/j.actaastro.2018.06.010
|
[6] |
FURFARO R, LINARES R, GAYLOR D E, et al. Resident Space Object Characterization and Behavior Understanding via Machine Learning and Ontology-based Bayesian Networks [C]//The 2016th Advanced Maui Optical and Space Surveillance Technologies Conference. Maui: Maui Economic Development Board, 2016.
|
[7] |
范增. 空间轨道转移飞行器轨道机动及应用仿真研究[D]. 沈阳: 沈阳理工大学, 2011.
|
[8] |
崔红正, 刘文玲, 唐歌实, 等. 不同推力下的非合作空间目标轨道机动检测[J]. 宇航学报, 2016,37(3):253-261.
doi: 10.3873/j.issn.1000-1328.2016.03.002
|
|
CUI Hongzheng, LIU Wenling, TANG Geshi, et al. Different Thrust Maneuvers Detection of Uncooperative Space Objects[J]. Journal of Astronautics, 2016,37(3):253-261.
doi: 10.3873/j.issn.1000-1328.2016.03.002
|
[9] |
刘磊. 空间目标轨道机动探测研究[D]. 武汉: 武汉大学, 2019.
|
[10] |
DING Z Y, YAO L, LIU B, et al. An Ontology-based Algorithm of Behavior Analysis and Intention Prediction for Space Object [C]//Proceedings of the 2018 6th IIAE International Conference on Intelligent Systems and Image Processing. Matsue: IIAE, 2018: 111-117.
|
[11] |
CHARLOTTE S, BRYANT K J, GARBUS M, et al. Efficient Object Maneuver Characterization for Space Situational Awareness [C]//32nd Space Symposium. Colorado: Springs, 2016.
|
[12] |
ARISTOFF J M, HORWOOD J T, POORE A B. Orbit and Uncertainty Propagation: a Comparison of Gauss-Legendre-, Dormand-Prince, and Chebyshev-Picard-based Approaches[J]. Celestial Mechanics & Dynamical Astronomy, 2014,118(1):13-28.
|
[13] |
桑吉章, 李彬, 刘宏康. 空间碎片轨道协方差传播及其动态校正[J]. 武汉大学学报(信息科学版), 2018,43(12):2139-2146.
|
|
SANG Jizhang, LI Bin, LIU Hongkan. Orbital Covariance Propagation of Space Debris and Its Dynamic Calibration[J]. Geomatics and Information Science of Wuhan University, 2018,43(12):2139-2146.
|
[14] |
朱俊鹏, 赵洪利, 杜鑫, 等. 长短时记忆神经网络在卫星轨道预报中的研究[J]. 兵器装备工程学报, 2017,38(10):127-132.
|
|
ZHU Junpeng, ZHAO Hongli, DU Xin, et al. Application of Long ShortTerm Memory Neural Networkto Orbit Prediction of Satellite[J]. Journal of Ordnance Equipment Engineering, 2017,38(10):127-132.
|
[15] |
International Laser Ranging Service. Satellite Maneuvers[DB/OL].[2019-10-10]. https://ilrs.cddis.eosdis.nasa.gov/data_and_products/predictions/maneuver.html.
|
[16] |
HO W, MA X. The State-of-the-art Integrations and Applications of the Analytic Hierarchy Process[J]. European Journal of Operational Research, 2017,267(2):399-414.
doi: 10.1016/j.ejor.2017.09.007
|
[17] |
罗艺, 谭贤四, 王红, 等. 一种高超声速飞行器攻击意图预测方法[J]. 西安电子科技大学学报, 2019,46(5):113-119.
|
|
LUO Yi, TANG Xiansi, WANG Hong, et al. Method for Predicting the Attack Intention of Hypersonic Vehicles[J]. Journal of Xidian University, 2019,46(5):113-119.
|
[18] |
王增光, 卢昱, 李玺, 等. 静态贝叶斯博弈最优防御策略选取方法[J]. 西安电子科技大学学报, 2019,46(5):55-61.
|
|
WANG Zengguang, LU Yu, LI Xi, et al. Optimal Defense Strategy Selection Based on the Static Bayesian Game[J]. Journal of Xidian University, 2019,46(5 ): 55-61.
|
[19] |
毕城, 王玲琳, 刘永信. 参数自适应动态贝叶斯舰船态势估计算法[J]. 西安电子科技大学学报, 2019,46(2):158-163.
|
|
BI Cheng, WANG Linglin, LIU Yongxin. Algorithm for the Assessment of Ship Situation Based on the Parameter Adaptive Dynamic Bayesian Network[J]. Journal of Xidian University, 2019,46(2):158-163.
|