Infrared LEO constellation design by GDE 3 algorithm
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摘要: 针对红外低轨系统,综合考虑定位精度、空间覆盖以及星座成本等因素,提出了红外低轨星座的设计准则,并定义星座性能的度量指标.然后,引入GDE 3算法用于红外低轨星座设计,该方法基于Pareto最优概念,能够得到多个最优解,适于多目标优化设计.通过星座建模和目标函数设计,进行了仿真实验.最后验证了设计得到的星座在多项性能指标上均优于已有文献中的星座.Abstract: Some guidelines about the design of infrared LEO(low earth orbit) constellation were analyzed and presented which involved location precision, space coverage and the constellation cost. And some indexes were defined to measure the performance of the constellation, such as the average efficient location precision, the N geometric coverage percentage and the N valid coverage percentage. Certain indexes could be used as some objective functions. The GDE 3 algorithm proposed could design and optimize the constellation. This method was based on Pareto optimal and could obtain a set of optimal solutions, thus it was adapted to solve the multi-object optimization problems. The simulation experiment was made by establishing the constellation model and designing the objective functions. Finally a constellation was selected from the results via a kind of multi-attributes decision. Compared with other constellation, much better performance was observed.
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Key words:
- constellation design /
- location precision /
- space coverage /
- GDE 3 algorithm
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