| Deep Reinforcement Learning for Cognitive Radar Spectrum Sharing: A Continuous Control Approach SA Flandermeyer, RG Mattingly, JG Metcalf IEEE Transactions on Radar Systems, 2024 | 9 | 2024 |
| On the practical use and experimentation of lte signals for radar-communications C Munnell, R Mattingly, S Flandermeyer, JG Metcalf 2022 IEEE Radar Conference (RadarConf22), 1-6, 2022 | 8 | 2022 |
| On spectrum sharing for pulse-doppler radar and OFDM communications JG Metcalf, S Flandermeyer 2020 IEEE Radar Conference (RadarConf20), 1-6, 2020 | 6 | 2020 |
| Characterizing the impact of iq imbalance and dc bias on pulse-agile radar processing JG Metcalf, S Flandermeyer, CA Mohr, A Kordik, P McCormick, C Sahin 2020 IEEE International Radar Conference (RADAR), 129-134, 2020 | 3 | 2020 |
| A Particle Swarm Optimization Approach to Surveillance Resource Management S Flandermeyer, J Metcalf 2023 IEEE International Radar Conference (RADAR), 1-6, 2023 | 1 | 2023 |
| gr-plasma: A New GNU Radio-based Tool for Software-defined Radar S Flandermeyer, R Mattingly, J Metcalf Proceedings of the GNU Radio Conference 7 (1), 2022 | 1 | 2022 |
| Reinforcement Learning for Cognitive Phased Array Radar Surveillance S Flandermeyer | | 2023 |
| An All-COTS Automotive Radar for SAR Imaging and Target Classification S Flandermeyer, R Kenney, H Kim, K Konyalioglu, A Pham, C Schone | | |
