This paper is devoted to the probabilistic uncertainty quantification of orbital lifetime estimation of low-altitude satellites. Specifically, given a detailed characterization of the dominant sources of uncertainty, we map this input into a probabilistic characterization of the orbital lifetime through orbital propagation. Standard Monte Carlo propagation is first considered. The concept of drag correction is then introduced to facilitate the use of polynomial chaos expansions and to make uncertainty propagation computationally effective. Finally, the obtained probabilistic model is exploited to carry out stochastic sensitivity analyses, which in turn allow gaining insight into the impact uncertainties have on orbital lifetime. The propose...
The objective of the study described in this paper was to develop an efficient uncertainty quantific...
The drag acceleration caused by the Earth\u27s atmosphere is a significant cause of prediction uncer...
The complex nature of many astrodynamic systems often leads to high computational costs or degraded ...
Orbital lifetime estimation is a problem of great timeliness and importance in astrodynamics. In vie...
In Space Situational Awareness (SSA), it is crucial to assess the uncertainty related to thestate ve...
Non-spherical gravitational effects and aerodynamic force are the dominant perturbations for low-Ear...
Small solar system bodies have received increasing scientific attention over the past decades. Study...
Given the dynamic environment in which spacecraft exist, a better methodology for performing orbital...
The objective of this study was to introduce an efficient and accurate approach to the quantificatio...
Due to the increasing number of space debris objects in orbit around Earth, the need increases for a...
The future space environment is predicted to grow in number of both operational and inactive man-mad...
This thesis develops theoretical and computational methods for the robustness analysis of uncertain ...
The objective of this study was to demonstrate the use of stochastic expansions in the quantificatio...
The state of a dynamical system and its uncertainty, as defined by its probability density function ...
Regular products within the field of Space Surveillance and Tracking (SST) and Space Traffic Managem...
The objective of the study described in this paper was to develop an efficient uncertainty quantific...
The drag acceleration caused by the Earth\u27s atmosphere is a significant cause of prediction uncer...
The complex nature of many astrodynamic systems often leads to high computational costs or degraded ...
Orbital lifetime estimation is a problem of great timeliness and importance in astrodynamics. In vie...
In Space Situational Awareness (SSA), it is crucial to assess the uncertainty related to thestate ve...
Non-spherical gravitational effects and aerodynamic force are the dominant perturbations for low-Ear...
Small solar system bodies have received increasing scientific attention over the past decades. Study...
Given the dynamic environment in which spacecraft exist, a better methodology for performing orbital...
The objective of this study was to introduce an efficient and accurate approach to the quantificatio...
Due to the increasing number of space debris objects in orbit around Earth, the need increases for a...
The future space environment is predicted to grow in number of both operational and inactive man-mad...
This thesis develops theoretical and computational methods for the robustness analysis of uncertain ...
The objective of this study was to demonstrate the use of stochastic expansions in the quantificatio...
The state of a dynamical system and its uncertainty, as defined by its probability density function ...
Regular products within the field of Space Surveillance and Tracking (SST) and Space Traffic Managem...
The objective of the study described in this paper was to develop an efficient uncertainty quantific...
The drag acceleration caused by the Earth\u27s atmosphere is a significant cause of prediction uncer...
The complex nature of many astrodynamic systems often leads to high computational costs or degraded ...