activity
20202023
most citedDirection of Arrival Estimation for a Vector Sensor Using Deep Neural Networks

1 citations · 1 across the 12 of their papers we have counts for

collaborators

14 papers

eess.SP2023

Mode Selection in Cognitive Radar Networks

William W. Howard, Samuel R. Shebert, Anthony F. Martone +1

Cognitive Radar Networks, which were popularized by Simon Haykin in 2006, have been proposed to address limitations with legacy radar installations. These limitations include large…

eess.SP2023

Mode Selection and Target Classification in Cognitive Radar Networks

William W. Howard, Samuel R. Shebert, Benjamin H. Kirk +1

Cognitive Radar Networks were proposed by Simon Haykin in 2006 to address problems with large legacy radar implementations - primarily, single-point vulnerabilities and lack of ada…

eess.SP2023

Open and Closed-Loop Weight Selection for Pattern Control of Paraboloidal Reflector Antennas with Reconfigurable Rim Scattering

R. Michael Buehrer, William W. Howard, Steven Ellingson

It has been demonstrated that modifying the rim scattering of a paraboloidal reflector antenna through the use of reconfigurable elements along the rim facilitates sidelobe modific…

eess.SY2023

Timely Target Tracking: Distributed Updating in Cognitive Radar Networks

William W. Howard, Anthony F. Martone, R. Michael Buehrer

Cognitive radar networks (CRNs) are capable of optimizing operating parameters in order to provide actionable information to an operator or secondary system. CRNs have been propose…

eess.SY2023

Hybrid Cognition for Target Tracking in Cognitive Radar Networks

William W. Howard, R. Michael Buehrer

This work investigates online learning techniques for a cognitive radar network utilizing feedback from a central coordinator. The available spectrum is divided into channels, and…

eess.SP2022

Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar

Charles E. Thornton, William W. Howard, R. Michael Buehrer

This paper describes important considerations and challenges associated with online reinforcement-learning based waveform selection for target identification in frequency modulated…