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An evolutionary probabilistic simplex algorithm for fast global optimization of TLE orbit determination
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DOI：10.1016/j.actaastro.2026.02.032.png)
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摘要
En 中文
• 轨道确定的核心问题是效率和精度。
• 遗传算法提供的解决方案计算成本高且不稳定。
• EPSA将轨道预测误差降低了超过58%。
• EPSA的处理速度比遗传算法快近九倍。
Keyword:
EPSA
orbit determination
genetic algorithms
global optimization
TLE
期刊
IF:
3.4
论文数:
1.2W
被引数:
2.1W
机构
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分享收藏Jonglez, Clement, Bartholomaus, Julian, Werner, Philipp, Stoll, Enrico, 10.3390/aerospace9120793 p. 793. Strategy, GNSS/TLEs Evaluation, and Accuracy Analysis Initial Tracking, Fast Identification in a Swarm and Combined SLR and GNSS Orbit Determination of the TUBIN Small Satellite https://www.mdpi.com/2226-4310/9/12/793 9(12). Aerospace 2022, (2022),Jonglez, Clement, Bartholomaus, Julian, Werner, Philipp, Stoll, Enrico, 10.3390/aerospace9120793 p. 793. 策略、GNSS/TLEs评估与精度分析：初始跟踪、编队中的快速识别以及TUBIN小型卫星的联合SLR和GNSS轨道确定 https://www.mdpi.com/2226-4310/9/12/793 9(12). Aerospace 2022, (2022),
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