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Volumn 2, Issue , 2002, Pages 935-942

Littoral tracking using particle filter

Author keywords

Constrained tracking; Ground moving target indicator (GMTI) measurements; Joint tracking and classification (JTC); Littoral tracking; Particle Filter (PF)

Indexed keywords

AUTOMATIC TARGET RECOGNITION; INFORMATION FUSION; MONTE CARLO METHODS;

EID: 84901445965     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2002.1020912     Document Type: Conference Paper
Times cited : (21)

References (21)
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  • 4
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    • Best, R.A.1
  • 6
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    • Blom, H.A.P.1    Bar-Shalom, Y.2
  • 7
    • 0035763235 scopus 로고    scopus 로고
    • Integrated tracking and classification: An application of hybrid state estimation
    • Y. Boers and H. Drissen, Integrated tracking and classification: An application of hybrid state estimation, Proc. SPIE Conf. Signal and Data Processing of Small Targets, Vol. 4473, pp. 198-209, 2001.
    • (2001) Proc. SPIE Conf. Signal and Data Processing of Small Targets , vol.4473 , pp. 198-209
    • Boers, Y.1    Drissen, H.2
  • 14
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    • Novel approach to nonlinear/nongaussian bayesian state estimation
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    • A particle filtering approach to passive radar tracking and automatic target recognition
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    • S. Herman and P. Moulan, A particle filtering approach to passive radar tracking and automatic target recognition, Proc. IEEE Aerospace Conference, Big Sky MT, March 2002.
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    • Herman, S.1    Moulan, P.2
  • 19
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    • Maximum likelihood geolocation using a ground moving target indicator (GMTI) report
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    • M. Mallick, Maximum Likelihood Geolocation using a Ground Moving Target Indicator (GMTI) Report, Proc. IEEE Aerospace Conference, March 2002, Big Sky MT, USA.
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  • 21
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    • Target tracking problems subject to kinamtic constraints
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.