Project description
Positioning satellite sensors to track space debris
Space around Earth is cluttered with debris. Tiny fragments of defunct satellites and spent rocket stages can cause catastrophic damage upon collision. Tracking this debris is crucial for preventing such collisions and ensuring the safety of active spacecraft. However, current tracking systems struggle to keep up with the growing volume and velocity of debris. In this context, the EIC-funded DeDUST project aims to enhance star trackers, the optical sensors used on satellites to determine orientation. Traditionally designed to detect stars, these trackers are now equipped with algorithms to identify and track space debris reflecting light. The project also involves setting up a database system to collect and process data from multiple star trackers.
Objective
The project develops a star tracker that is capable of detecting and tracking space debris in orbit and sets up a system that gathers data coming from multiple star trackers.
A star tracker is an optical sensor on board of a satellite that takes and processes star images to determine the spacecraft orientation. Because the star tracker is optimized to detect bright dots, it is also very well suited to detect space debris that reflects light. Typically, non-star data is discarded in a star tracker, but in this project, algorithms are developed that process non-star signals to verify if they correspond to space debris. Once detected, the star tracker characterizes the orbit and size of the debris. This functionality is added to the star tracker, which retains its primary function of determining the attitude.
A database system will be set up to collect data from the different star trackers in orbit, and process it such that it can be fed into SSA databases of partnering organizations.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringastronautical engineeringspacecraft
- natural sciencescomputer and information sciencesdatabases
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Funding Scheme
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended FinanceCoordinator
8520 Kuurne
Belgium
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.