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基于分解思想的导航星座多目标优化
Optimization of Navigation Constellation by a Multi-objective Evolutionary Algorithm Based On Decomposition
【摘要】 导航星座多目标优化是寻找既能满足设计指标又能使代价最小的理想导航星座。首先,建立了一种由中轨道卫星(MEO)、地球静止轨道卫星(GEO)和倾斜同步轨道卫星(IGSO)组成的混合星座构型模型,并提出一种将星座性能和星座成本作为目标函数的多目标导航星座优化方法,其次,分析了优化目标函数加权几何精度因子WGDOP、可见星数目M和导航星座成本的选择及计算方法,并将基于分解思想的多目标优化算法(MOEA/D)引入导航星座优化中。最后,建立了导航星座多目标优化的数学模型,对基于北斗系统的混合星座进行优化,提出一种新的北斗系统的优化方案。
【Abstract】 Multi-objective optimization of navigation constellation is to find the ideal navigation constellation which not only meets the design specifications but also consumes the minimum cost.Firstly,established a mixed constellation configuration model consisted of Middle Earth Orbits satellites(MEO),Geosynchronous Earth Orbit satellites(GEO) and Inclined Geosynchronous Orbit satellites(IGSO),and also proposed a multi-objective optimization method of navigation constellation using constellation performance and cost as objective functions.Secondly,analyzed objective functions ’ selection process and calculation methods of weighted geometric dilution of precision(WGDOP),number of visible satellites(M) and navigation constellation cost,then introduced multi-objective evolutionary optimization algorithm based on decomposition(MOEA/D) to optimization of navigation constellation.Finally,established a multi-objective optimization mathematical model of navigation constellation,then simulated a mixed constellation based on Compass sys-tem to presents a new Compass system optimization method.
- 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2012年09期
- 【分类号】TN967.1;V474.25
- 【被引频次】5
- 【下载频次】111