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End-to-end deep learning for flight trajectory reconstruction from multi-station ADS-B measurements
Abstract In the field of aviation safety, ADS-B is widely adopted as an active broadcast-based aviation surveillance system, enabling aircraft to broadcast their real-time position information via onboard devices. However, the open communication protocol relied upon by ADS-B has led to increasingly frequent GPS spoofing and network hijacking attacks, posing significant threats to communication security.
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