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 | 15642 | 2002 |
Beyond the Kalman filter: Particle filters for tracking applications B Ristic, S Arulampalam, N Gordon Artech House Publishers, 2004 | 5533 | 2004 |
Tracking a manoeuvring target using angle-only measurements: algorithms and performance B Ristic, MS Arulampalam Signal processing 83 (6), 1223-1238, 2003 | 240 | 2003 |
Bearings-only tracking of manoeuvring targets using particle filters MS Arulampalam, B Ristic, N Gordon, T Mansell EURASIP Journal on Advances in Signal Processing 2004, 1-15, 2004 | 209 | 2004 |
A Gaussian-sum based cubature Kalman filter for bearings-only tracking PH Leong, S Arulampalam, TA Lamahewa, TD Abhayapala IEEE Transactions on Aerospace and Electronic Systems 49 (2), 1161-1176, 2013 | 192 | 2013 |
Comparison of the particle filter with range-parameterized and modified polar EKFs for angle-only tracking S Arulampalam, B Ristic Signal and Data Processing of Small Targets 2000 4048, 288-299, 2000 | 181 | 2000 |
Performance bounds and comparison of nonlinear filters for tracking a ballistic object on re-entry B Ristic, A Farina, D Benvenuti, MS Arulampalam IEE Proceedings-Radar, Sonar and Navigation 150 (2), 65-70, 2003 | 157 | 2003 |
A multiple hypothesis tracker for multitarget tracking with multiple simultaneous measurements T Sathyan, TJ Chin, S Arulampalam, D Suter IEEE Journal of Selected Topics in Signal Processing 7 (3), 448-460, 2013 | 123 | 2013 |
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 | 116 | 2002 |
Void probabilities and Cauchy–Schwarz divergence for generalized labeled multi-Bernoulli models M Beard, BT Vo, BN Vo, S Arulampalam IEEE Transactions on Signal Processing 65 (19), 5047-5061, 2017 | 107 | 2017 |
A partially uniform target birth model for Gaussian mixture PHD/CPHD filtering M Beard, BT Vo, BN Vo, S Arulampalam IEEE Transactions on Aerospace and Electronic Systems 49 (4), 2835-2844, 2013 | 78 | 2013 |
Comparison of nonlinear filtering algorithms in ground moving target indicator (GMTI) tracking M Mallick, S Arulampalam Signal and Data Processing of Small Targets 2003 5204, 630-647, 2004 | 77 | 2004 |
Bernoulli particle filter with observer control for bearings-only tracking in clutter B Ristic, S Arulampalam IEEE Transactions on Aerospace and Electronic systems 48 (3), 2405-2415, 2012 | 73 | 2012 |
Target motion analysis using range-only measurements: algorithms, performance and application to ISAR data B Ristic, S Arulampalam, J McCarthy Signal Processing 82 (2), 273-296, 2002 | 73 | 2002 |
Sensor control for multi-target tracking using Cauchy-Schwarz divergence M Beard, BT Vo, BN Vo, S Arulampalam 2015 18th International Conference on Information Fusion (Fusion), 937-944, 2015 | 67 | 2015 |
Out-of-sequence measurement processing for tracking ground target using particle filters M Mallick, T Kirubarajan, S Arulampalam Proceedings, IEEE Aerospace Conference 4, 4-4, 2002 | 64 | 2002 |
Error performance bounds for tracking a manoeuvring target A Bessell, B Ristic, A Farina, X Wang, MS Arulampalam Proceedings of the 6th International Conference on Information Fusion, 903-910, 2003 | 61 | 2003 |
Special issue on Monte Carlo methods for statistical signal processing MS Arulampalam, S Maskell, N Gordon, T Clapp IEEE Trans Signal Process 50 (2), 173, 2002 | 52 | 2002 |
Performance of the shifted Rayleigh filter in single-sensor bearings-only tracking S Arulampalam, M Clark, R Vinter 2007 10th International Conference on Information Fusion, 1-6, 2007 | 49 | 2007 |
Beyond the Kalman filter: Particle filters for tracking applications. 2004 B Ristic, S Arulampalam, N Gordon Artech House, 0 | 49 | |