PMO OpenIR  > 空间目标与碎片观测研究基地
Genetic Algorithm for Initial Orbit Determination with Too Short Arc (Continued)
Li Xinran; Wang Xin
2016
Source PublicationActa Astronomica Sinica
Volume57Issue:2Pages:181-187
AbstractWhen using the genetic algorithm to solve the problem of too-short-arc (TSA) determination, due to the difference of computing processes between the genetic algorithm and classical method, the methods for outliers editing are no longer applicable. In the genetic algorithm, the robust estimation is acquired by means of using different loss functions in the fitness function, then the outlier problem of TSAs is solved. Compared with the classical method, the application of loss functions in the genetic algorithm is greatly simplified. Through the comparison of results of different loss functions, it is clear that the methods of least median square and least trimmed square can greatly improve the robustness of TSAs, and have a high breakdown point.
DOI0001-5245(2016)57:2<181:JYYCSF>2.0.TX;2-4
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Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/16845
Collection空间目标与碎片观测研究基地
Recommended Citation
GB/T 7714
Li Xinran,Wang Xin. Genetic Algorithm for Initial Orbit Determination with Too Short Arc (Continued)[J]. Acta Astronomica Sinica,2016,57(2):181-187.
APA Li Xinran,&Wang Xin.(2016).Genetic Algorithm for Initial Orbit Determination with Too Short Arc (Continued).Acta Astronomica Sinica,57(2),181-187.
MLA Li Xinran,et al."Genetic Algorithm for Initial Orbit Determination with Too Short Arc (Continued)".Acta Astronomica Sinica 57.2(2016):181-187.
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