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[an error occurred while processing this directive]Risk-sensitive Filtering Algorithms and Applications Based on Center Differential
Received date: 2012-12-30
Online published: 2025-05-26
李海君 , 赵国荣 . 基于中心差分的风险敏感滤波算法及其应用[J]. 弹箭与制导学报, 2013 , 33(5) : 169 -172 . DOI: 10.15892/j.cnki.djzdxb.2013.05.025
The large initial error can result in instability and filtering divergence of spacecraft attitude determination system, so the risk sensitive filtering algorithms based on central differential was presented. With risk-sensitive estimator applied to central difference filter, the new algorithm integrates advantages of both risk-sensitive filter and central difference filter, so filtering convergence speed has been improved, filtering divergence has been restrained, and robustness has been strengthened. Compared with EKF, UKF and CDKF, the filtering result of new algorithm is better for larger initial error.
| [1] | Lefferts EJ, Markley FL, Shuster M D. Kalman filteringfor spacecraft attitude estimation[J]. Journal of Guidance,Control, and Dynamics, 1982,5 (5): 417- 429. |
| [2] | Crassidis JL, Markley F L. Unscented filtering for space-craft attitude estimation[J]. Journal of Guidance, Control,and Dynamics, 2003, 26 (4): 536- 542. |
| [3] | Crassidis JL. Sigma-point Kalman filtering for integratedGPS and inertial navigation[C]//AIAA Guidance, Naviga-tion, and Control Conference, 2005: 1981-2004. |
| [4] | Oshman Y, Carmi A. Attitude estimation from vector obser-vations using genetic-algorithm-embedded quaternion parti-cle filter[J]. Journal of Guidance, Control, and Dynam-ics, 2006, 29(4): 879-891. |
| [5] | George J, Terejanu G, Singla P. Spacecraft attitude estima-tion using adaptive gaussian sum filter[J]. Journal of theAstronautical Sciences, 2009, 57 (1/2): 31-45. |
| [6] | Linares R, Kumar V, Singla P, et al. Information theoreticspace object data association methods using an adaptivegaussian sum filter[J]. Advances in the Astronautical Sci-ences, 2011, 140: 665680. |
| [7] | Lam QM, Crassidis JL. Precision attitude determinationusing a multiple model adaptive estimation scheme[C]//Proceedings of the IEEE Aerospace Conference, 2007. |
| [8] | Lam QM, Crassidis JL. Evaluation of a multiple model a-daptive estimation scheme for space vehicle's enhanced nav-igation solution[C]//AIAA Guidance, Navigation, andControl Conference, 2007: 4690-4710. |
| [9] | Marschke JM, Crassidis JL, Lam QM. Attitude estima-tion without rate gyros using generalized multiple model a-daptive estimation[C]//AIAA Guidance, Navigation, andControl Conference and Exhibit, 2009. |
| [10] | RK Boe, 1 MR James, IR Peterson. Robustness andrisksensitive filtering[J]. IEEE Trans. Automat. Contr., 2002,47(3): 451-461. |
| [11] | H Zhang, L Xie, YC Soh. Risk-sensitive filtering, pre-diction and smoothing for discrete-time singular systems[J]. Automatica, 2003,39(1): 57–66. |
| [12] | Thrun S, Langford J, Verma V. Risk sensitive particle fil-ters: Advances in Neural Information Processing Systems14 [M]. Cambridge: MIT Press, 2002: 372-381. |
| [13] | James MR, Elliott R J. Risksensitive and risk neutralcontrol for continuoustime hidden markov models[J]. Journal of Applied Mathematics and Optimization, 1996, 34(1): 37-50. |
| [14] | K Ito, K Xiong. Gaussian filters for nonlinear filteringproblems[J]. IEEE Trans. Automat. Cont., 2000, 45(5):910-927. |
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