7 citations · 10 across the 3 of their papers we have counts for
3 papers
Large Scale Radio Frequency Wideband Signal Detection & Recognition
Luke Boegner, Garrett Vanhoy, Phillip Vallance +4
Applications of deep learning to the radio frequency (RF) domain have largely concentrated on the task of narrowband signal classification after the signals of interest have alread…
Large Scale Radio Frequency Signal Classification
Luke Boegner, Manbir Gulati, Garrett Vanhoy +5
Existing datasets used to train deep learning models for narrowband radio frequency (RF) signal classification lack enough diversity in signal types and channel impairments to suff…
Practical Fingerprinting of RF Devices in the Wild
Silvija Kokalj-Filipovic, Luke Boegner, Robert D. Miller
We present a new RF fingerprinting technique for wireless emitters that is based on a simple, easily and efficiently retrainable Ridge Regression (RR) classifier. The RR learns to…