• Editorial staff

MSDF SD – Multi Sensor Data Fusion for Space Debris

Updated: May 28

“Multi Sensor Data Fusion for Space Debris” is a project where Nurjana researchers are working with theUniCA-DIEEto study and develop an innovative platform to find and track space debris using integrated optical and radar sensors network.

MSDF SD – Multi Sensor Data Fusion for Space Debris
MSDF SD – Multi Sensor Data Fusion for Space Debris

More than 5,000 launches since the start of the space age, each carrying satellites for Earth observation, or communications, for example, have resulted in space becoming increasingly congested.

This is why the problem of space debris is becoming increasingly urgent: in addition to hazardous space environment, large objects, such as dismissed satellites, rocket parts, etc., can re-enter the Earth’s atmosphere in an uncontrolled way, creating risks to the safety of people and things on Earth.

NT R&D activities focus on the study and development of a “multi sensor data fusion” platform (ie merging data acquired from different sensors) to be used in the field of space debris monitoring, based on processing of data and images produced by a heterogeneous and distributed sensor network such as:

  • Optical Systems operating in both the visual and InfraRed spectrum

  • Radar systems at different frequencies

The “Sensor Data Fusion” process consists of merging data from multiple sensors and implementing an Expert Decision System. The system has the function of filtering and correlating large amounts of data, to improve the overall performance of the monitoring system and to give to the user useful information for the management of one or more space missions, in relation to the dangers arising from space debris.