Bearings-only tracking with a Gaussian-sum based ensemble Kalman filter

@article{Jiang2017BearingsonlyTW,
  title={Bearings-only tracking with a Gaussian-sum based ensemble Kalman filter},
  author={Haonan Jiang and Yuanli Cai},
  journal={2017 29th Chinese Control And Decision Conference (CCDC)},
  year={2017},
  pages={4823-4828}
}
The paper presents a novel nonlinear filtering algorithm called the Gaussian-sum ensemble Kalman filter (GSEnKF) for the bearings-only tracking problem. It extends the ensemble Kalman filter within a Gaussian-sum framework by using range-parameterized strategy. As a sequential Monte Carlo algorithm, it is not quite computationally demanding, whilst demonstrating better performance than conventional algorithms. Simulation results validate the effectiveness and robustness of the proposed… CONTINUE READING

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