Objective(s): develop a MSDC demo model for a commercial STM service, which will ingest and combine tracking data from various sensor types, correlate measurements with targets, and perform orbit determination with high accuracy. The system will also automatically update orbits on track ingest, maintaining a catalogue compatible with Neuraspace’s STM platform. This catalogue will support additional services like fragmentation detection, manoeuvre detection, and re-entry analysis.

The project successfully developed and demonstrated a multi-source data correlator (MSDC), advancing it from TRL 3 to TRL 7. The MSDC processes data from optical, laser and radar sources to perform high accuracy orbit determination. The MSDC was validated in an operational environment, tracking real targets for which high accuracy ephemeris were available, facilitating system validation and proving its effectiveness in accurate orbit determination. Additionally an experimental demonstration was carried out in conjunction with EISCAT to use their scientific radar to track satellites, successfully obtaining useful data and building a partnership with a view to exploiting their next generation radar for STM purposes. The system will be ready in 2025 for integration into commercial space traffic management services.​

​Benefits: Enhanced accuracy and reliability in orbit determination and collision avoidance, crucial for safe space operations. Real-time STM, reducing collision risks, and sustainability of commercial and ESA missions. Allows Neuraspace's LEOP service by improving data fusion from sensors, ground stations, and GNSS receivers - more accurate orbit determination and prediction during launch and early operations.​

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