Particle based MAP state estimation: A comparison

2009 12th International Conference on Information Fusion, FUSION 2009

Volumn , Issue , 2009, Pages 278-283

  Saha, S ^a   Boers, Y ^b   Driessen, H ^b   Mandal, P K ^a   Bagchi, A ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b THALES NEDERLAND B V   (Netherlands)

Author keywords

Bayesian point estimation; Filter MAP; Particle filter; Sequential Monte Carlo

Indexed keywords

BAYESIAN POINT ESTIMATION; FILTER MAP; MAP ESTIMATION; MAP ESTIMATOR; NON-GAUSSIAN SYSTEMS; NUMERICAL RESULTS; PARTICLE FILTER; SEQUENTIAL MONTE CARLO;

AIR FILTERS; BAYESIAN NETWORKS; INFORMATION FUSION; MONTE CARLO METHODS; NONLINEAR FILTERING; NUMERICAL METHODS; VITERBI ALGORITHM;

ESTIMATION;

EID: 70449353892     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. S. Arulampalam, S. Maskell, N. Gordon and T. Clapp, "A Tutorial on Particle Filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Transaction on Signal Processing, vol. 50(2), pp. 174-188, Feb. 2002.
2. Y. Bar-Shalom and X. Li, Multitarget-Multisensor Tracking: Principles and Techniques, Academic Press, New York, 1995.
3. H. A. P. Blom, E. A. Bloem, Y. Boers and J. N. Driessen, "Tracking closely spaced targets: Bayes outperformed by an approximation?," in Proc. of the 11th International Conference on Information Fusion, Cologne, Germany, 2008.
4. Y. Boers and J. N. Driessen, "Particle filter based detection schemes," Signal and data Processing of Small Targets, SPIE, vol. 4728, pp. 128-137, 2007.
5. Y. Boers and J. N. Driessen, "The Mixed Labelling Problem in Multi- target Particle Filter," in Proc. of the 10th International Conference on Informa-tion Fusion, Quebec, Canada, 2007.
6. Y. Boers, E. Sviestins and J.N. Driessen. Mixed Labelling in Multi Target Particle Filtering. Accepted for publication in IEEE Transactions on Aersospace and Electronic Systems, 2008
7. Y. Boers, J. N. Driessen and L. Schipper, "Parti-cle Filter Based Sensor Selection in Binary Sensor Networks," in Proc. of the 11th International Con-ference on Information Fusion, Cologne, Germany, July 2008.
8. F. Gustafsson. Particle Filter Theory and Prac-tice, Provisionally accepted for IEEE Aerospace and Electronic Systems, Tutorial, 2009.
9. J. V. Candy, "Bootstrap particle filtering," IEEE Signal Processing Magazine , vol. 24(4), pp. 73-85, 2007.
10. O. Cappe, S. J. Godsill and E. Moulines, "An overview of existing methods and recent advances in sequential Monte Carlo," IEEE Proceedings, vol. 95(5), pp. 899-924, 2007.
11. A. Doucet, S. Godsill and C. Andrieu, "On sequen-tial Monte Carlo sampling methods for Bayesian filtering," Statistics and Computing, vol. 10, pp. 197-208, 2000.
12. J. N. Driessen and Y. Boers, "Particle filter MAP estimation in dynamical systems, " in The IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications, Birmingham, UK, April. 2008.
13. J. N. Driessen and Y. Boers, "MAP Estimation in Nonlinear Dynamic Systems," submitted, 2008.
14. S. Godsill, A. Doucet and M. West, "Maximum a posteriori sequence estimation using Monte Carlo particle filters," Annals of the Institute of Statisti-cal Mathematics, vol. 53, pp. 82-96, 2001.
15. N. J. Gordon, D. J. Salmond and A. F. M. Smith, "Novel approach to nonlinear/non-Gaussian Bayesian state estimation," IEE Proc. F - Radar and Signal Processing, vol. 140(2), pp. 107-113, 1993.
16. M. Klaas, M. Briers, N. de Freitas, S. Maskell and D. Lang, "Fast Particle smoothing: if I had a million particles," in Proc. of the 23rd Inter-national Conference on Machine Learning, Pitts-burgh, Pennsylvania, 2006, pp. 481-488.
17. J. S. Liu and R. Chen, "Sequential Monte Carlo Methods for Dynamic Systems," Journal of the American Statistical Association, vol. 93(443), pp. 1032-1044, 1998.
18. B. Silverman, Density Estimation for Statistics and Data Analysis. Chapman and Hall/CRC, 1986.
19. S. K. Zhou, R. Chellappa and B.Moghaddam, "Vi-sual Tracking and Recognition using appearance -adaptive Models in particle filters," IEEE Trans-action on Image Processing, vol. 13(11), pp. 1491-1506, Nov. 2004.