Advances Methods for Orbital Uncertainty Characterization Applied to Space Surveillance and Tracking’s Industrial Doctorate

In this aid, the beneficiary is Alejandro Cano Sánchez and the abstract of the project is the following.

The project is focused on the analysis and development of advanced methods for orbital uncertainty characterization applied to space surveillance and tracking of space debris, including the following aspects: modelling of the uncertainty in dynamical models and how it affects the orbit of objects around the Earth, such as Earth’s atmospheric drag or solar radiation pressure; quantification of the uncertainty in those dynamical models by parameter estimation using statistical methods; uncertainty estimation and propagation with advanced methods (for instance, particle filters) based on SST sensors measurements (radars, telescopes, etc.); and collision risk assessment using the estimated orbital uncertainty and its corresponding propagation considering the previous developments.