| A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking MS Arulampalam, S Maskell, N Gordon, T Clapp IEEE Transactions on signal processing 50 (2), 174-188, 2002 | 12892 | 2002 |
| An introduction to sequential Monte Carlo methods A Doucet, N De Freitas, N Gordon Sequential Monte Carlo methods in practice, 3-14, 2001 | 10025* | 2001 |
| Novel approach to nonlinear/non-Gaussian Bayesian state estimation NJ Gordon, DJ Salmond, AFM Smith IEE proceedings F (radar and signal processing) 140 (2), 107-113, 1993 | 9095 | 1993 |
| Beyond the Kalman filter: Particle filters for tracking applications B Ristic, S Arulampalam, N Gordon Artech house, 2003 | 4540* | 2003 |
| Particle filters for state estimation of jump Markov linear systems A Doucet, NJ Gordon, V Krishnamurthy IEEE Transactions on signal processing 49 (3), 613-624, 2001 | 955 | 2001 |
| Wireless sensor networks for battlefield surveillance T Bokareva, W Hu, S Kanhere, B Ristic, N Gordon, T Bessell, M Rutten, ... Proceedings of the land warfare conference, 1-8, 2006 | 281 | 2006 |
| Statistical analysis of motion patterns in AIS data: Anomaly detection and motion prediction B Ristic, B La Scala, M Morelande, N Gordon 2008 11th International Conference on Information Fusion, 1-7, 2008 | 269 | 2008 |
| A hybrid bootstrap filter for target tracking in clutter N Gordon IEEE Transactions on Aerospace and Electronic Systems 33 (1), 353-358, 1997 | 221 | 1997 |
| A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking S Maskell, N Gordon Target tracking: algorithms and applications (Ref. No. 2001/174), IEE 2, 21-215, 2001 | 214 | 2001 |
| Bayesian state estimation for tracking and guidance using the bootstrap filter N Gordon, D Salmond, C Ewing Journal of Guidance, Control, and Dynamics 18 (6), 1434-1443, 1995 | 209 | 1995 |
| Bearings-only tracking of manoeuvring targets using particle filters MS Arulampalam, B Ristic, N Gordon, T Mansell EURASIP Journal on Applied Signal Processing 2004, 2351-2365, 2004 | 169 | 2004 |
| Recursive track-before-detect with target amplitude fluctuations MG Rutten, NJ Gordon, S Maskell IEE Proceedings-Radar, Sonar and Navigation 152 (5), 345-352, 2005 | 163 | 2005 |
| Efficient particle filters for joint tracking and classification NJ Gordon, S Maskell, T Kirubarajan Signal and Data Processing of Small Targets 2002 4728, 439-449, 2002 | 111 | 2002 |
| A comparison of particle filters for recursive track-before-detect MG Rutten, B Ristic, NJ Gordon 2005 7th International Conference on Information Fusion 1, 7 pp., 2005 | 110 | 2005 |
| Detection and tracking using particle-filter-based wireless sensor networks N Ahmed, M Rutten, T Bessell, SS Kanhere, N Gordon, S Jha IEEE Transactions on Mobile Computing 9 (9), 1332-1345, 2010 | 106 | 2010 |
| A variable structure multiple model particle filter for GMTI tracking MS Arulampalam, N Gordon, M Orton, B Ristic Proceedings of the Fifth International Conference on Information Fusion …, 2002 | 106 | 2002 |
| On target classification using kinematic data B Ristic, N Gordon, A Bessell Information fusion 5 (1), 15-21, 2004 | 98 | 2004 |
| Group and extended object tracking DJ Salmond, NJ Gordon IET Digital Library, 1999 | 75 | 1999 |
| Bayesian methods for tracking N Gordon Imperial College London (University of London), 1993 | 71 | 1993 |
| Cramér-Rao bounds for non-linear filtering with measurement origin uncertainty ML Hernandez, AD Marrs, NJ Gordon, SR Maskell, CM Reed Proceedings of the Fifth International Conference on Information Fusion …, 2002 | 66 | 2002 |
Sanjeev ArulampalamDefence Science and TechnologyVerified email at ieee.org
