PASM-Net: A Coordinate-Aware Manifold-Regularized Framework for Open-Set UAV RF Fingerprint Identification
The proposed PASM-Net feature-learning framework employs multiscale hollow convolutions to extract local time–frequency features across different receptive fields and introduces a coordinate attention mechanism prior to global pooling, thereby enhancing the model’s ability to represent position-related information in b...