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Volumn , Issue , 2009, Pages

An adaptive unscented Kalman filter for dead reckoning systems

Author keywords

Adaptive filter; Dead reckoning; Extended Kalman filter; Unscented Kalman filter

Indexed keywords

DEAD RECKONING; DEAD RECKONING SYSTEM; DISCRETE-TIME NONLINEAR SYSTEMS; NOISE PARAMETERS; ON-LINE ESTIMATION; POSITIONING PRECISION; RECURSIVE OPERATIONS; SEQUENTIAL FILTERING; STATISTICAL PARAMETERS; TIME VARYING; UNSCENTED KALMAN FILTER;

EID: 77949575622     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIECS.2009.5365064     Document Type: Conference Paper
Times cited : (13)

References (9)
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    • Jan
    • Richard L. Moose, M. K. Sistanizadeh, and Gisli Skagfjord. "Adaptive State Estimation for a System with Unknown Input and Measurement Bias." IEEE Journal of Oceanic Engineering, vol. OE-12, NO. I, Jan. 1987.
    • (1987) IEEE Journal of Oceanic Engineering , vol.OE-12 , Issue.I
    • Moose, R.L.1    Sistanizadeh, M.K.2    Skagfjord, G.3
  • 3
    • 0016516534 scopus 로고
    • An adaptive state estimation solution to the maneuvering target problem
    • June
    • R. L. Moose, "An adaptive state estimation solution to the maneuvering target problem," IEEE Trans. on Automatic Control, vol. AC-20, pp.359-362, June 1975.
    • (1975) IEEE Trans. on Automatic Control , vol.AC-20 , pp. 359-362
    • Moose, R.L.1
  • 5
    • 46449122916 scopus 로고    scopus 로고
    • Yi Qu, Zhong Liu and Shiyan sun, The research of underwater target tracking adaptive algorithm based on bearings and time-delay, Proceedings of the IEEE international Conference on Ingration Technology, Mar. 20-24, Shenzhen, China. 2007.
    • Yi Qu, Zhong Liu and Shiyan sun, "The research of underwater target tracking adaptive algorithm based on bearings and time-delay", Proceedings of the IEEE international Conference on Ingration Technology, Mar. 20-24, Shenzhen, China. 2007.
  • 8
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear non-Gaussian Bayesian tracking
    • M.S. Arulampalam, S. Maskell, N. Gordon, T. Clapp, "A tutorial on particle filters for online nonlinear non-Gaussian Bayesian tracking," IEEE Trans. Signal Processing, vol.50, no.2, pp.174-188, 2002.
    • (2002) IEEE Trans. Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 9
    • 8344287766 scopus 로고    scopus 로고
    • Sigma-point Kalman filters for probabilistic inference in dynamic state-space models
    • Ph.D. Thesis, Oregon Health & Science University
    • R. van der Merwe "Sigma-point Kalman filters for probabilistic inference in dynamic state-space models"Ph.D. Thesis, Oregon Health & Science University. 2004.
    • (2004)
    • van der Merwe, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.