141 citations · 162 across the 16 of their papers we have counts for
17 papers
Online Bayesian Meta-Learning for Cognitive Tracking Radar
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
A key component of cognitive radar is the ability to generalize, or achieve consistent performance across a range of sensing environments, since aspects of the physical scene may v…
Changepoint Detection for Real-Time Spectrum Sharing Radar
Samuel Haug, Austin Egbert, Robert J. Marks +2
Radar must adapt to changing environments, and we propose changepoint detection as a method to do so. In the world of increasingly congested radio frequencies, radars must adapt to…
Distributed Online Learning for Coexistence in Cognitive Radar Networks
William Howard, Anthony Martone, R. Michael Buehrer
This work addresses the coexistence problem for radar networks. Specifically, we model a network of cooperative, independent, and non-communicating radar nodes which must share res…
Universal Learning Waveform Selection Strategies for Adaptive Target Tracking
Charles E. Thornton, R. Michael Buehrer, Harpreet S. Dhillon +1
Online selection of optimal waveforms for target tracking with active sensors has long been a problem of interest. Many conventional solutions utilize an estimation-theoretic inter…
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…