Variational Bayesian-Based Robust Weighted Cubature Kalman Filter for State Estimation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1083-6_41
Reference15 articles.
1. Song, R., Chen, X., Fang, Y., Huang, H.: Integrated navigation of GPS/INS based on fusion of recursive maximum likelihood IMM and Square-root Cubature Kalman filter. ISA Trans. 105, 387–395 (2020)
2. Farahi, F., Yazdi, H.S.: Probabilistic Kalman filter for moving object tracking. Signal Processing: Image Commun. 82, 115751 (2020)
3. Ma, L., Wang, Z., Cai, C., Alsaadi, F.E.: Dynamic event-triggered state estimation for discrete-time singularly perturbed systems with distributed time-delays. IEEE Trans. Syst. Man, Cybern.: Syst. 50(9), 3258–3268 (2020)
4. Wang, M., Wu, W., Zhou, P., He, X.: State transformation extended Kalman filter for GPS/SINS tightly coupled integration. GPS Solutions 22(4), 112 (2018)
5. Lyu, X., Hu, B., Chang, L.: An adaptive and robust UKF approach based on Gaussian process regression-aided variational Bayesian. IEEE Sens. J. 21(7), 9500–9514 (2021)
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