Zhen Zhang

Toward Robust RF Drone Detection at Energy Facilities: A Synthetic Industrial-EMI Benchmark and Noise-Augmented Training Method

Radio-frequency (RF) classifiers for drone detection at critical energy facilities reach 99%+ accuracy in laboratory conditions, but the electromagnetic interference (EMI) of substations, refineries, and nuclear plants is absent from public benchmarks. We show that exposing the classifier to a parameterized synthetic i...