Satellite Orbit Determination Based on Stahel–Donoho Kernel Estimator

Xiaogang Pan, Haiyin Zhou
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Abstract

Dynamic model error and observation model error was the main factor to badly pollute the precision of orbit determination, especially in space based observation. Model error compensation technology was researched by designing semi-parametric orbit determination regression model. Stahel-Donoho Kernel estimator was applied to solve the semi-parametric model, which can effectively estimate the model error and restrain the gross error. Simulation Experiments was processed under space based surveillance system, and results proved that the Stahel-Donoho Kernel estimator can improve the precision of orbit determination largely.
基于Stahel-Donoho核估计的卫星轨道确定
动态模型误差和观测模型误差是严重污染定轨精度的主要因素,特别是在天基观测中。通过设计半参数定轨回归模型,研究模型误差补偿技术。采用Stahel-Donoho核估计器求解半参数模型,能有效地估计模型误差并抑制粗误差。在天基监视系统下进行了仿真实验,结果表明Stahel-Donoho核估计器能大幅度提高定轨精度。
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