Adaptive Cubature Strong Tracking Information Filter Using Variational Bayesian Method

@article{Ge2014AdaptiveCS,
  title={Adaptive Cubature Strong Tracking Information Filter Using Variational Bayesian Method},
  author={Quanbo Ge and Chenglin Wen and Shaodong Chen and Ruoyu Sun and Yuan Li},
  journal={IFAC Proceedings Volumes},
  year={2014},
  volume={47},
  pages={5945-5950}
}
Abstract For most practical nonlinear state estimation problems, the conventional nonlinear filters do not usually work well for some cases, such as inaccurate system model, sudden change of state-interested and unknown variance of measurement noise. In this paper, an adaptive cubature strong tracking information filter using variational Bayesian (VB) method is proposed to cope with these complex cases. Firstly, the strong tracking filtering (STF) technology is used to integrally improve… Expand

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