An Adaptive Robust Student’s t-Based Kalman Filter Based on Multi-sensor Fusion
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-13822-5_54
Reference11 articles.
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3. Wang, J., Zhang, T., Jin, B., Zhu, Y., Tong, J.: Student’s t-based robust Kalman filter for A SINS/USBL integration navigation strategy. IEEE Sens. J. 1 (2020). https://doi.org/10.1109/JSEN.2020.2970766
4. Jia, G., Huang, Y., Bai, M., Zhang, Y.: A novel robust Kalman filter with non-stationary heavy-tailed measurement noise. IFAC-PapersOnLine 53, 368–373 (2020). https://doi.org/10.1016/j.ifacol.2020.12.188
5. Wang, D., Zhang, H., Ge, B.: Adaptive unscented Kalman filter for target tacking with time-varying noise covariance based on multi-sensor information fusion. Sensors 21, 5808 (2021)
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