Extended symmetric sampling strategy for unscented kalman filter

Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009

Volumn , Issue , 2009, Pages 383-386

  Sun, Fuming ^a   Ma, Yonghong ^a   Wang, Jingli ^a  

^a LIAONING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Moment matching method; Sampling strategy; Unscented kalman filter

Indexed keywords

KEY FACTORS; MOMENT MATCHING METHOD; NON-LINEAR DYNAMIC SYSTEMS; ROOT OF MEAN SQUARES; SAMPLING PRINCIPLE; SAMPLING STRATEGIES; SAMPLING STRATEGY; SIMULATION RESULT; UNSCENTED KALMAN FILTER;

CONTROL THEORY; DYNAMICAL SYSTEMS; KALMAN FILTERS; METHOD OF MOMENTS; SYSTEMS ENGINEERING;

NONLINEAR FILTERING;

EID: 70449393769     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CASE.2009.52     Document Type: Conference Paper

References (15)

1. D Simon Julier, Jeffrey Uhlmann, and Hough F. Durrant-Whyte, "A new method for the nonlinear transformation of means and covariances in filters and estimators," IEEE Trans. Automatic Control, 2000, vol.45, no.3, pp.2253-2261, 2000.
2. A. Farina, D. Benvenuti and B. Ristic, "Tracking a ballistic target: Comparison of several nonlinear filters," IEEE Trans. Aerospace and Electronic Systems, vol.38, no.3, pp.854-867, 2002.
3. Zhao Zhanlue, Chen Huimin, Chen Genshe, et al, "Comparison of several ballistic target tracking filters," Proceedings of the 2006 American Control Conf. Minneapolis, Minnesota, USA, pp.2197-2202, June 14-16, 2006.
4. Song Qi and Han Jianda, "An adaptive UKF algorithm for the state and parameter estimations of a mobile robot," Acta Automatica Sinica, vol.34, no.1, pp.72-79, 2008.
5. Julier S. J., Uhlmann J. K., "Reduced sigma point filters for the propagation of means and covariances through nonlinear transformations," The Proc of American Control Conf., Jefferson City, pp.887-892, 2002.
6. Julier S. J., "The spherical simplex unscented transformation," Proceedings of the 2003 American Control Conference, Denver, Colorado, USA, pp.2430-2434, June. 2003,.
7. Julier S. J., "A skewed approach to filtering," The Proc of AeroSense: 12th Int Symposium Aerospace/Defense Sensing Simulation Control. Orlando, pp.271-282, 1998.
8. Van der Merwe R, Wan E. A., "The square-root unscented Kalman filter for state and parameter estimation," International Conference on Acoustics, Speech, and Signal Processing. IEEE, Salt Lake City, Utah, pp.3461-3464, May 2001.
9. Wu Yuanxin, Hu Dewen, Wu Meiping, et al, "Unscented Kalman filtering for additive noise case: augmented versus nonaugmented," IEEE Signal Processing Letters, vol.12, no.5, pp.257-360, 2005.
10. Zhan Ronghui, Xin Qin, and Wan Jianwei, "Modified unscented particle filter for nonlinear Bayesian tracking," Journal of Systems Engineering and Electronics, vol.19, no.1, pp.7-14, 2008.
11. Pan Quan, Yang Feng, Ye Liang, et al, "Survey of a kind of nonlinear filters- UKF," Control and Decision, vol.20, no.5, pp.481-489 and 494, 2005. (in Chinese)
12. Li X. R., Zhao Zhanlue, and Li Xiaobai, "General model-set design methods for multiple-model approach," IEEE Trans. Automatic Control, vol.50, no.9, pp.1260-2005, 2005.
13. Julier S. J., Uhlmann, J. K., "Unscented filtering and nonlinear estimation," Proceeding of IEEE, vol.92, no.3, pp.401-422, 2004.
14. Sarkka S, "On unscented Kalman filtering for state estimation of continuous-time nonlinear systems," IEEE Trans. Automatic Control, vol.52, no.9, pp.1631-1641, 2007.
15. Daum F., "Nonlinear filters: beyond the Kalman filter," IEEE Aerospace and Electronic Systems Magazine, vol.20, no.8, pp.57-69, 2005.