38 citations · 107 across the 9 of their papers we have counts for
10 papers
Temporal Convolutional Autoencoder for Interference Mitigation in FMCW Radar Altimeters
Charles E. Thornton, Jamie Sloop, Samuel Brown +3
Reliable altitude estimation with frequency-modulated continuous wave (FMCW) radar altimeters is increasingly a challenge due to in-band interference from modern communication syst…
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications
Sriniketh Vangaru, Daniel Rosen, Dylan Green +5
Technological trends show that Radio Frequency Reinforcement Learning (RFRL) will play a prominent role in the wireless communication systems of the future. Applications of RFRL ra…
Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture
Samuel B. Brown, Stephen Young, Adam Wagenknecht +4
Denoising autoencoders for signal processing applications have been shown to experience significant difficulty in learning to reconstruct radio frequency communication signals, par…
RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications
Daniel Rosen, Illa Rochez, Caleb McIrvin +14
Radio Frequency Reinforcement Learning (RFRL) is anticipated to be a widely applicable technology in the next generation of wireless communication systems, particularly 6G and next…
The RFML Ecosystem: A Look at the Unique Challenges of Applying Deep Learning to Radio Frequency Applications
Lauren J. Wong, William H. Clark, Bryse Flowers +3
While deep machine learning technologies are now pervasive in state-of-the-art image recognition and natural language processing applications, only in recent years have these techn…
Training Data Augmentation for Deep Learning Radio Frequency Systems
William H. Clark, Steven Hauser, William C. Headley +1
Applications of machine learning are subject to three major components that contribute to the final performance metrics. Within the category of neural networks, and deep learning s…