141 citations · 156 across the 15 of their papers we have counts for
9 papers · 1 filter
When is Cognitive Radar Beneficial?
Charles E. Thornton, R. Michael Buehrer
When should an online reinforcement learning-based frequency agile cognitive radar be expected to outperform a rule-based adaptive waveform selection strategy? We seek insight rega…
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…
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…
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…
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…
Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
A sequential decision process in which an adaptive radar system repeatedly interacts with a finite-state target channel is studied. The radar is capable of passively sensing the sp…