141 citations · 162 across the 16 of their papers we have counts for
8 papers · 1 filter
Adversarial Multi-Player Bandits for Cognitive Radar Networks
William W. Howard, R. M. Buehrer, Anthony Martone
We model a radar network as an adversarial bandit problem, where the environment pre-selects reward sequences for each of several actions available to the network. This excludes en…
Online Meta-Learning for Scene-Diverse Waveform-Agile Radar Target Tracking
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
A fundamental problem for waveform-agile radar systems is that the true environment is unknown, and transmission policies which perform well for a particular tracking instance may…
Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models
C. Tanner Fredieu, Anthony Martone, R. Michael Buehrer
In this paper, we examine the use of a deep multi-layer perceptron architecture to classify received signals as one of seven common waveforms, single carrier (SC), single-carrier f…
Classification of Common Waveforms Including a Watchdog for Unknown Signals
C. Tanner Fredieu, Justin Bui, Anthony Martone +3
In this paper, we examine the use of a deep multi-layer perceptron model architecture to classify received signal samples as coming from one of four common waveforms, Single Carrie…
Open Set Wireless Standard Classification Using Convolutional Neural Networks
Samuel R. Shebert, Anthony F. Martone, R. Michael Buehrer
In congested electromagnetic environments, cognitive radios require knowledge about other emitters in order to optimize their dynamic spectrum access strategy. Deep learning classi…
Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
In tracking radar, the sensing environment often varies significantly over a track duration due to the target's trajectory and dynamic interference. Adapting the radar's waveform u…