| Micro-Doppler based detection and tracking of UAVs with multistatic radar F Hoffmann, M Ritchie, F Fioranelli, A Charlish, H Griffiths 2016 IEEE radar conference (RadarConf), 1-6, 2016 | 166 | 2016 |
| An Overview of Cognitive Radar: Past, Present, and Future SZ Gurbuz, HD Griffiths, A Charlish, M Rangaswamy, MS Greco, K Bell IEEE Aerospace and Electronic Systems Magazine 34 (12), 6-18, 2019 | 92 | 2019 |
| Phased array radar resource management using continuous double auction A Charlish, K Woodbridge, H Griffiths IEEE Transactions on Aerospace and Electronic Systems 51 (3), 2212 - 2224, 2015 | 64 | 2015 |
| Anticipation in cognitive radar using stochastic control A Charlish, F Hoffmann 2015 IEEE Radar Conference (RadarCon), 1692-1697, 2015 | 58 | 2015 |
| Autonomous agents for multi-function radar resource management A Charlish University College London, 2011 | 54 | 2011 |
| Cognitive Radar Management A Charlish, F Hoffmann Novel Radar Techniques and Applications 2, 2017 | 36 | 2017 |
| Multi-target tracking control using Continuous Double Auction Parameter Selection A Charlish, K Woodbridge, H Griffiths Information Fusion (FUSION), 15th International Conference on, 1269-1276, 2012 | 34 | 2012 |
| The Development from Adaptive to Cognitive Radar Resource Management A Charlish, F Hoffmann, C Degen, I Schlangen IEEE Aerospace and Electronic Systems Magazine 35 (6), 8-19, 2020 | 28 | 2020 |
| Agent based multifunction radar surveillance control A Charlish, K Woodbridge, H Griffiths IEEE Radar Conference (RadarCon), 824-829, 2011 | 23 | 2011 |
| Array Radar Resource Management A Charlish, F Katsilieris Novel Radar Techniques and Applications 1, 2017 | 18 | 2017 |
| A resource allocation model for the radar search function F Hoffmann, A Charlish 2014 International Radar Conference, 1-6, 2014 | 15 | 2014 |
| Modelling, Learning and Prediction of Complex Radar Emitter Behaviour S Apfeld, A Charlish, G Ascheid 18th IEEE International Conference on Machine Learning and Applications, 2019 | 14 | 2019 |
| On the decorrelated distributed Kalman filter under measurement origin uncertainty F Govaers, A Charlish, W Koch Information Fusion (FUSION), 15th International Conference on, 1372-1378, 2012 | 14 | 2012 |
| Covariance debiasing for the distributed Kalman filter F Govaers, A Charlish, W Koch Proceedings of the 16th International Conference on Information Fusion, 61-67, 2013 | 13 | 2013 |
| Track-to-track fusion schemes for a radar network A Charlish, F Govaers, W Koch IET Digital Library, 2012 | 13 | 2012 |
| Quality of service resource management for a radar network R Nadjiasngar, A Charlish IEEE Radar Conference, 344-349, 2015 | 12 | 2015 |
| A performance model for target tracking with a radar network R Nadjiasngar, A Charlish IEEE Radar Conference, 238-243, 2015 | 12 | 2015 |
| An exact solution to track-to-track fusion using accumulated state densities W Koch, F Govaers, A Charlish 2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-5, 2013 | 12 | 2013 |
| A Mnemonic Kalman Filter for Non-Linear Systems With Extensive Temporal Dependencies S Jung, I Schlangen, A Charlish IEEE Signal Processing Letters 27, 1005 - 1009, 2020 | 11 | 2020 |
| Sequential Monte Carlo Filtering with Long Short-Term Memory Prediction S Jung, I Schlangen, A Charlish 22nd International Conference on Information Fusion, 2019 | 11 | 2019 |
Hugh GriffithsTHALES / Royal Academy of Engineering Chair of RF SensorsVerified email at ucl.ac.uk
