Enhancing Space Surveillance Capabilities for Safety and Security
In response to the growing concerns over safety and security in the operational space environment, Thales Alenia Space Italia is focusing on developing space surveillance capabilities for threat detection. This involves utilizing space sensors in Low Earth Orbit, Medium Earth Orbit, and Geostationary Earth Orbit to provide continuous, accurate, and global coverage. The objective includes simulating algorithms for processing sensor data, evaluating computational load, and adopting machine learning technologies for automated monitoring services.
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Presentation Transcript
Thales Thales Alenia WP5: The context - SSA Alenia Space Italia Space Italia Increasing interest and participation in space activities across several domains commercial, civil and military: orbital traffic and population have increased drastically Raised concerns over safety and security of the operational space environment A strong need for developing Space Surveillance capabilities of detecting threats Space sensors in both in Low Earth Orbit (LEO), Medium Earth Orbit (MEO) and Geostationary Earth Orbit (GEO) are suitable to provide: 24/7 operation and continuity: space-based surveillance and tracking are not impacted by atmospheric and weather conditions and by day and night cycles Accuracy: space-based measurements are not affected by the impairments of the atmosphere Global coverage: space sensors are designed and deployed to complement and augment the coverage of ground-based assets, whose installation/operation is precluded in remote and oceanic areas Responsiveness: space sensors can improve the revisit of the space volume(s) requiring constant monitoring; further, space-based data relay (i.e. inter-satellite links) can provide real time tasking and fast telemetry transmission of/by space sensors. Multiple sensors technologies are possible: optical and RF
Thales Thales Alenia WP5: Objectives Alenia Space Italia Space Italia Simulation of state of art algorithms for processing of space based sensors data for SSA and evaluation of the computational load. The simulator will provide: Information to support architectural trade offs in terms of optimal split between on board and on ground processing A reference to evaluate complex scenarios with multiple sensors processing Adoption of machine learning and big data technologies to profitably implement monitoring services in automated way for the purposes of SSA
Thales Thales Alenia WP5: Topics Architecture and Algorithms for SSA Processing Alenia Space Italia Space Italia 1. Investigate existing and upcoming sensors typologies and technologies for space based ssa applications, identify measurable space objects characteristics they can detect and the data typologies they generate 2. Selection of a representative subset of sensors and identification of the state of art algorithms for data processing: dealing with raw-data pre processing to extract actionable information and also support decision making concerning threat detection, identification and characterization 3. Design and implementation of a mock up (simulator) which is capable to generate a synthetic data set for the selected sensors, implement the algorithms of the processing chain and evaluate the computational load
Thales Thales Alenia WP5: Schedule Alenia Space Italia Space Italia
