Holistically Researching the Radio Frequency Machine Learning (RFML) Ecosystem

W. Headley
Virginia Tech Hume Center for National Security and Technology, Virginia, United States

Keywords: radio frequency, machine learning, spectrum sensing

This presentation will overview what VT Hume defines as the RFML "Ecosystem" in which our lab has used to look holistically at utilizing our wireless communications domain knowledge in intelligently applying state of the art deep learning to wireless communication applications, in particular electronic warfare and spectrum sensing. Research thrust areas to be highlighted are dataset formulation, application use cases, security, and trust.