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Volumn IV, Issue , 2005, Pages

A density-assisted particle filter algorithm for target tracking with unknown ballistic coefficient

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ITERATIVE METHODS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; TRACKING (POSITION);

EID: 33646767166     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1415931     Document Type: Conference Paper
Times cited : (9)

References (10)
  • 2
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • February
    • M.S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Transactions on Signal Processing, vol. 50, n. 2, pp. 174-188, February 2002.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 3
    • 4644297947 scopus 로고    scopus 로고
    • Improved particle filters for ballistic target tracking
    • Montreal, Quebec, Canada, May 17-21
    • M. G. S. Bruno and A. Pavlov, "Improved Particle Filters for Ballistic Target Tracking," Proceedings IEEE ICASSP 2004, vol. II, pp. 705-708, Montreal, Quebec, Canada, May 17-21, 2004.
    • (2004) Proceedings IEEE ICASSP 2004 , vol.2 , pp. 705-708
    • Bruno, M.G.S.1    Pavlov, A.2
  • 4
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • A. Doucet, S. J. Godsill, and C. Andrieu,"On sequential Monte Carlo sampling methods for Bayesian filtering," Stat. Comput., vol.10, pp. 197-208, 2000.
    • (2000) Stat. Comput. , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.J.2    Andrieu, C.3
  • 5
    • 0035648076 scopus 로고    scopus 로고
    • Following a moving target - Monte Carlo inference for dynamic Bayesian models
    • W. R. Gilks and C. Berzuini,"Following a moving target - Monte Carlo inference for dynamic Bayesian models," J. R. Statist. Soc. B, vol.63, pp. 127-146, 2001.
    • (2001) J. R. Statist. Soc. B , vol.63 , pp. 127-146
    • Gilks, W.R.1    Berzuini, C.2
  • 6
    • 10944251332 scopus 로고    scopus 로고
    • Particle methods for change detection, system identification, and control
    • March
    • C. Andrieu, A. Doucet, S. S. Singh, and V. B. Tadić, "Particle Methods for Change Detection, System Identification, and Control," Proceedings of the IEEE, vol.92, n.3, pp. 423-438, March 2004.
    • (2004) Proceedings of the IEEE , vol.92 , Issue.3 , pp. 423-438
    • Andrieu, C.1    Doucet, A.2    Singh, S.S.3    Tadić, V.B.4
  • 7
    • 4644259624 scopus 로고    scopus 로고
    • Density assisted particle filters for state and parameter estimation
    • Montreal, Quebec, Canada, May 17-21
    • P. M. Djurić, M. F Bugallo, and J. Míguez, "Density assisted particle filters for state and parameter estimation," Proceedings IEEE ICASSP 2004, vol.II, pp. 701-704, Montreal, Quebec, Canada, May 17-21, 2004.
    • (2004) Proceedings IEEE ICASSP 2004 , vol.2 , pp. 701-704
    • Djurić, P.M.1    Bugallo, M.F.2    Míguez, J.3
  • 8
    • 0001225908 scopus 로고    scopus 로고
    • Combined parameter and state estimation in simulation-based filtering
    • A. Doucet, J. F G. Freitas, and N. J. Gordon, Editors, New York: Springer-Verlag
    • J. Liu and M. West, "Combined parameter and state estimation in simulation-based filtering," in Sequential Monte Carlo Methods in Practice, A. Doucet, J. F G. Freitas, and N. J. Gordon, Editors, pp. 197-223, New York: Springer-Verlag, 2001.
    • (2001) Sequential Monte Carlo Methods in Practice , pp. 197-223
    • Liu, J.1    West, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.