A Geometric Feature Space Learning Method for Automatic Modulation Open-Set Recognition
Automatic modulation open-set recognition (AMOSR) aims to correctly classify known signals while reliably rejecting unknown signals. However, existing methods often suffer from insufficient geometric constraints in the feature space and inadequate modeling of unknown regions, leading to degraded classification accuracy...