Technical Details
Students from the Moscow Aviation Institute have developed a prototype program based on artificial intelligence to recover lost satellite position data. The system is designed to work in conditions of interference, navigation errors, and temporary signal loss, the university reported. The developed prototype does not simply "fill in the gaps" between known points, but analyzes the trajectory of the satellite's movement as a whole and restores lost sections, taking into account how the device moved before and after the failure.
Background and Context
The author of the study, Marta Artemova, used real data from the movement of spacecraft: coordinates of several satellites recorded every minute for 5 days. In total, the system processed about 288,000 records. The dataset was specially added with gaps, coordinate shifts, and other artificial interference to test the algorithm's robustness.
Industry Impact
During testing, the program almost completely restored the original trajectory of the satellites. The average error was about 33 cm. The developers believe that the technology can be applied not only in satellite constellations but also in autonomous unmanned systems — for example, in transportation or robotics.