
RUFF (Rotating UWB For Fingerprint) is a dataset for exploring the UWB device authentication through radio frequency fingerprinting. This dataset is composed of more then 1.5 million measurments of Chanel impulse Response (CIR) of UWB signal pulses. Each mesurment is labeled with a Device ID from 1 of 13 emitting boards and with a Device Location of 1 of 100 positions. The data is available in raw csv files from the recording campagn and in .npy clean format for a direct usage in python. The code and Deep Learning models from this project can be found in This git. Link to the Article with more detail will be added after review.
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