Charles E. Thornton

Orcid: 0000-0002-2078-6472

According to our database1, Charles E. Thornton authored at least 16 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Online Bayesian Meta-Learning for Cognitive Tracking Radar.
IEEE Trans. Aerosp. Electron. Syst., October, 2023

On the Role of 5G and Beyond Sidelink Communication in Multi-Hop Tactical Networks.
CoRR, 2023

On the Value of Online Learning for Radar Waveform Selection.
CoRR, 2023

Online Learning-Based Waveform Selection for Improved Vehicle Recognition in Automotive Radar.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection.
IEEE Trans. Aerosp. Electron. Syst., 2022

Universal Learning Waveform Selection Strategies for Adaptive Target Tracking.
IEEE Trans. Aerosp. Electron. Syst., 2022

When is Cognitive Radar Beneficial?
CoRR, 2022

Timely Target Tracking in Cognitive Radar Networks.
CoRR, 2022

Linear Jamming Bandits: Sample-Efficient Learning for Non-Coherent Digital Jamming.
Proceedings of the IEEE Military Communications Conference, 2022

2021
Online Meta-Learning for Scene-Diverse Waveform-Agile Radar Target Tracking.
CoRR, 2021

Multi-player Bandits for Distributed Cognitive Radar.
CoRR, 2021

Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

2020
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments.
IEEE Trans. Cogn. Commun. Netw., 2020

Constrained Online Learning to Mitigate Distortion Effects in Pulse-Agile Cognitive Radar.
CoRR, 2020

Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar.
CoRR, 2020

Efficient Online Learning for Cognitive Radar-Cellular Coexistence via Contextual Thompson Sampling.
Proceedings of the IEEE Global Communications Conference, 2020


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