• Electronics Optics & Control
  • Vol. 20, Issue 11, 105 (2013)
[in Chinese], [in Chinese], and [in Chinese]
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2013.11.023 Cite this Article
    [in Chinese], [in Chinese], [in Chinese]. An Improved Extend Kalman Filtering Algorithm Based on Asymptotic Stationary Process[J]. Electronics Optics & Control, 2013, 20(11): 105 Copy Citation Text show less
    References

    [1] BARSHALOM Y.Multitargetmultisensor tracking:Applications and advances[M].3rd ed.Boston:Artech House 2000.

    [2] HUE CLE CADRE J P.Tracking multiple objects with particle filtering[J].IEEE Transactions on Aerospace and Electronic Systems200238(3):791-812.

    [3] WILLIAM F LAARON D L.Unscented Kalman filters for multiple target tracking with symmetric measurement equations[J].IEEE Transations on Automatic Control200954(2):370-375.

    [4] GIANNITRAPANI ASCORTECCI F.Comparison of EKF and UKF for spacecraft localization via angle measurements [J].IEEE Transations on Aerospace and Electronic Systems201140(1):75-84.

    [5] THOMAS E.Tracking wild maneuvers at low datarate using curved track state parameters[C]//IEEE International Radar Conference2000:87-92.

    [7] HAYKIN S.Adaptive filter theory[M].New York:Pearson Education2002.

    [8] GREWAL M SANDREWS A P.Kalman filtering theory and practice using Matlab[M].3rd ed.Wiley Insterscience 2008.

    [in Chinese], [in Chinese], [in Chinese]. An Improved Extend Kalman Filtering Algorithm Based on Asymptotic Stationary Process[J]. Electronics Optics & Control, 2013, 20(11): 105
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