C1.3

Signal Classification for Spectrum Sharing with Machine Learning Using a Low-Cost SDR

Akimun Jannat Alvina, University of Colorado Denver, United States; Yao Ma, National Institute of Standards and Technology, United States; Vijay Harid, Mark Golkowski, University of Colorado Denver, United States
Session:
C1: Adaptive RADAR and Array Signal Processing Techniques Lecture
Track:
Commission C: Radio-communication Systems and Signal Processing
Location:
Room 105
Presentation Time:
Thu, 11 Jan, 16:10 - 16:30 MST (UTC -7)
Session Co-Chairs:
Dev Palmer, DARPA and Vijay Harid, University of Colorado Denver
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Presentation
Discussion
Resources
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Session C1
C1.1: Low Probability of Detection Communication via Polarization Diversity: An Experimental Study
Morriel Kasher, Rutgers University, United States; Fikadu T. Dagefu, Jihun Choi, DEVCOM Army Research Laboratory, United States; Chryssalenia Koumpouzi, Predrag Spasojevic, Rutgers University, United States
C1.2: Predistortion for a X-band Wave-Sensing Radar Power Amplifier
John Mower, University of Washington, United States
C1.3: Signal Classification for Spectrum Sharing with Machine Learning Using a Low-Cost SDR
Akimun Jannat Alvina, University of Colorado Denver, United States; Yao Ma, National Institute of Standards and Technology, United States; Vijay Harid, Mark Golkowski, University of Colorado Denver, United States
C1.4: Progress towards quantum-enhanced microwave remote sensing and communication applications
Jérôme Bourassa, Qubic Inc., Canada; Christopher Wilson, Qubic Inc & University of Waterloo, Canada
C1.5: From Laboratory to Platform: The Impact of Adaptive Spectrum Usage on Microwave Test and Measurement
Charles Baylis, Austin Egbert, Andrew Clegg, Robert Marks, Baylor University, United States
Contacts