• Electronics Optics & Control
  • Vol. 27, Issue 1, 12 (2020)
TAN Faming1 and ZHAO Junjie2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2020.01.003 Cite this Article
    TAN Faming, ZHAO Junjie. Strong Tracking Based Variational Bayesian Adaptive Kalman Filtering Algorithm[J]. Electronics Optics & Control, 2020, 27(1): 12 Copy Citation Text show less
    References

    [1] BAI M, LI M H.Application of an adaptive sequential Kalman filter to SINS/GPS navigation data fusion[C]//Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012:4309-4314.

    [3] NUMMENMAA S S.Recursive noise adaptive Kalman filtering by variational Bayesian approximations[J].IEEE Transactions on Automatic Control, 2009, 54(3):596-600.

    [4] SUN J L, ZHOU J, GU X K.Variational Bayesian two-stage Kalman filter for systems with unknown inputs[J].Procedia Engineering, 2012, 29(4):2265-2273.

    [6] HUANG Y L, ZHANG Y G, WU Z M, et al.A novel adaptive Kalman filter with inaccurate process and measurement noise covariance matrices[J].IEEE Transactions on Automatic Control, 2018, 63(2):594-601.

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    TAN Faming, ZHAO Junjie. Strong Tracking Based Variational Bayesian Adaptive Kalman Filtering Algorithm[J]. Electronics Optics & Control, 2020, 27(1): 12
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