| 引用本文: | 李泽越,杨震,李海阳,等.航天器轨道机动自适应逆向移动滑窗检测方法.[J].国防科技大学学报,2024,46(4):45-53.[点击复制] |
| LI Zeyue,YANG Zhen,LI Haiyang,et al.Adaptive antidromic window moving method for spacecraft orbital maneuver detection[J].Journal of National University of Defense Technology,2024,46(4):45-53[点击复制] |
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| 航天器轨道机动自适应逆向移动滑窗检测方法 |
| 李泽越1,2,杨震1,2,李海阳1,2,罗亚中1,2 |
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(1. 国防科技大学 空天科学学院, 湖南 长沙 410073;2. 空天任务智能规划与仿真湖南省重点实验室, 湖南 长沙 410073)
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| 摘要: |
| 以两行轨道根数为数据来源,提出采用逆向移动滑窗的自适应轨道机动检测方法。建立检测窗口的自适应配置模型以获得不同目标的检测窗口,采用交叉弧段预报思想更精确地估计机动时刻,通过逆向移动滑窗方法实现近实时机动检测。将检测结果与真实机动以及已有文献中的检测结果进行比较,结果表明:新方法能够适应不同轨道空间目标机动检测的窗口配置,且在给定仿真条件下检测成功率可以达到90%以上,机动时刻估计准确度与已有方法对比有显著的提升；仿真结果表明新方法可以应用于近实时的轨道机动检测。 |
| 关键词: 轨道机动 移动滑窗 轨道异常检测 空间态势感知 |
| DOI：10.11887/j.cn.202404005 |
| 投稿日期：2022-04-11 |
| 基金项目:国家自然科学基金资助项目(11902347)；军事科技领域青年人才托举工程资助项目(2021-JCJQ-QT-047)；湖南省自然科学基金资助项目(2020JJ4657) |
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| Adaptive antidromic window moving method for spacecraft orbital maneuver detection |
| LI Zeyue1,2, YANG Zhen1,2, LI Haiyang1,2, LUO Yazhong1,2 |
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(1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China;2. Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Missions, Changsha 410073, China)
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| Abstract: |
| Using two line elements as data source, an adaptive method using antidromic window moving for detecting maneuvers of space objects was proposed. Adaptive window configuration model was established to get detection window for different objects. Meanwhile, cross arc prediction was integrated in order to obtain the maneuver time more precisely. Applying antidromic window moving method, the maneuver in the latest epochs can be detected. The results were compared with real maneuvers as well as in the existing literature. It is shown that the proposed method can adapt to the window configuration of maneuvering detection of space objects on different orbits. Besides, the detection success rate can reach more than 90% under the given simulation conditions. Moreover, the accuracy of maneuver time estimation is observably higher than that of existed method. Simulations of the approach proposed have demonstrated good performance in near-real-time maneuver detecting. |
| Keywords: orbital maneuver window moving orbital anomaly detection space situational awareness |
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