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Volumn , Issue , 2007, Pages 96-101

An IMMUPF method for ground target tracking

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; PROBLEM SOLVING;

EID: 40949112792     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2007.4413844     Document Type: Conference Paper
Times cited : (7)

References (21)
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  • 3
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    • Cui, N.1    Hong, L.2    Layne, J.R.3
  • 7
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
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  • 8
    • 0004286947 scopus 로고    scopus 로고
    • The unscented particle filter,
    • Technical Report CUED/FINFENG/TR380, Engineering Department, Cambridge University, August
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    • (2000)
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  • 9
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    • Improving regularized particle filters
    • A. Doucet, N. de Freitas, and N. Gordon, Eds, Springer, New York
    • C. Musso, N. Oudjane, and F. Le Gland, "Improving regularized particle filters" in A. Doucet, N. de Freitas, and N. Gordon, (Eds.): "Sequential Monte Carlo methods in practice" (Springer, New York, 2001), pp. 247-271.
    • (2001) Sequential Monte Carlo methods in practice , pp. 247-271
    • Musso, C.1    Oudjane, N.2    Le Gland, F.3
  • 14
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    • Multiple model bootstrap filter for maneuvering target tracking
    • July
    • S. McGinnity, G. W. Irwin, "Multiple model bootstrap filter for maneuvering target tracking," IEEE Trans. Aerosp. Electron. Syst., vol. 36, no. 3, pp. 1006-1012, July 2000.
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    • Hybrid state estimation: A target tracking application
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    • Efficient particle filters for joint tracking and classification
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.