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Measures of Nonlinearity and non-Gaussianity in Orbital Uncertainty Propagation

机译:轨道不确定性传播中的非线性和非高斯度量

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Orbit uncertainty propagation (OUP) is an important tracking problem appearing in space situational awareness. The uncertainty, which is initially approximately Gaussian, is transformed by the time propagation and eventually becomes non-Gaussian. Gaussian representation of the uncertainty becomes gradually inaccurate, which is often addressed by splitting the Gaussian representation into a mixture of Gaussian densities (GM), which can describe the uncertainty with arbitrary accuracy. Measures of nonlinearity (MoNL) and non-Gaussianity (MoNG) assess the degree of the model nonlinearity around a working point and thus they pose a convenient means to indicate time instants suitable for the splitting. The paper provides an analysis of several MoNLs and MoNGs with a special focus on their behavior in the OUP from the numerical, theoretical, and practical points of view. Based on the analysis, measures eligible for governing the splitting in the OUP based on GM are recommended.
机译:轨道不确定性传播(OUP)是空间态势感知中出现的重要跟踪问题。最初近似为高斯的不确定性随时间传播而变换,最终变为非高斯性。高斯表示的不确定性逐渐变得不准确,通常可以通过将高斯表示分为高斯密度(GM)的混合来解决,该混合可以任意精度地描述不确定性。非线性度量(MoNL)和非高斯度量(MoNG)评估了工作点周围模型非线性的程度,因此它们提供了一种方便的方法来指示适合分裂的时刻。本文从数值,理论和实践的角度,对几种MoNL和MoNG进行了分析,并特别关注了它们在OUP中的行为。在分析的基础上,建议了适合控制基于通用汽车的OUP中的拆分的措施。

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