A Multi-Scenario UAV RF Dataset with Real-World Acquisition and Signal Processing Benchmarking
Researchers created DRFF-R2, a real-world UAV radio frequency dataset collected from 26 UAVs across 8 models under diverse conditions. The data is organized into seven scenarios to test various RF signal research methods, such as fingerprinting and interference analysis. This resource enables future studies on UAV identification and signal processing.