Abstract
A GNSS anti-spoofing algorithm based on attention scheme jointly with label smooth loss was proposed and verified under designed GNSS dataset to detect potential and complex spoofing threat in synchronization network. Moreover the experimental results verified that the proposed algorithm showed some better performance of machine learning metrics comparing to conventional ways.
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