An efficient statistical adaptive order-switching methodology for kalman filters

Jianlin Chen1, Josep J. Masdemont2, Gerard Gómez3, Jianping Yuan4
1Northwestern Polytechical University & National Key Laboratory of Aerospace Flight Dynamics & Universitat Politècnica de Catalunya, School of Astronautics, Road West 127, Xi’an 710072, China
2IEEC & Universitat Politècnica de Catalunya, UPC-Departament de Matemàtiques, Diagonal 647, 08028 Barcelona
3IEEC & Universitat de Barcelona, UB-Departament de Matemàtiques i Informàtica, Gran Via de les Corts Catalanes 585, 08007 Barcelona
4Northwestern Polytechical University & National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Road West 127, Xi’an 710072, China

Tài liệu tham khảo

Kalman, 1960, A new approach to linear filtering and predictionproblems, J Basic Eng, 82, 35, 10.1115/1.3662552 Lee, 2005 Xu, 2014, Dual-model reverse CKFalgorithm in cooperative navigation for USV, Math Prob Eng, 2014, 10.1155/2014/186785 Huang, 2017, A newadaptive extended kalman filter for cooperative localization, IEEE Trans Aerospace Electron Syst, 54, 353, 10.1109/TAES.2017.2756763 Zarei, 2018, Performance improvement for mobilerobot position determination using cubature kalman filter, J Navigat, 71, 389, 10.1017/S0373463317000716 Bonyan-Khamseh, 2019, Unscentedkalman filter state estination for manipulating unmanned aerial vehicles, Aerosp Sci Technol, 92, 446, 10.1016/j.ast.2019.06.009 Partovibakhsh, 2014, An adaptive unscented kalman filteringapproach for online estimation of model parameters and state-of-charge oflithium-ion batteries for autonomous mobile robots, IEEE Trans Control Syst Technol, 23, 357, 10.1109/TCST.2014.2317781 Peng, 2017, State of charge estimationof battery energy storage systems based on adaptive unscented kalman filterwith a noise statistics estimator, IEEE Access, 5, 13202, 10.1109/ACCESS.2017.2725301 Lu, 2016, An improved extended kalman filter withinequality constraints for gas turbine engine health monitoring, Aerosp Sci Technol, 58, 36, 10.1016/j.ast.2016.08.008 Chen, 2020, Anadaptive kalman filtering approach to sensing and predicting air qualityindex values, IEEE Access, 8, 4265, 10.1109/ACCESS.2019.2963416 Pesce, 2019, Comparison offiltering techniques for relative attitude estimation of uncooperative spaceobjects, Aerosp Sci Technol, 84, 318, 10.1016/j.ast.2018.10.031 Julier, 2000, A new method forthe nonlinear transformation of means and covariances in filters andestimators, IEEE Trans Automat Contr, 45, 477, 10.1109/9.847726 Zhang, 2013, Cubature kalman filters: derivation and extension, Chin Phys B, 22, 128401, 10.1088/1674-1056/22/12/128401 Sharifian, 2016, Classifying the weightsof particle filters in nonlinear systems, Commun NonlinearSci Numer Simul, 31, 69, 10.1016/j.cnsns.2015.05.021 Nourmohammadi, 2017, Decentralized INS/GNSS systemwith MEMS-grade inertial sensors using QR-factorized CKF, IEEE Sensors J, 17, 3278, 10.1109/JSEN.2017.2693246 Wang, 2015, Novel cubature kalman filteringfor systems involving nonlinear states and linear measurements, AEU-Int J Electron Commun, 69, 314, 10.1016/j.aeue.2014.09.017 Medewar, 2019, A comparison betweennonlinear estimation based algorithms for mobile robot localizations, 2019 IEEE 1st Int Conf Energy Syst Inf Process (ICESIP), IEEE, 1 Garcia, 2019, Nonlinear filtering for sequential spacecraft attitude estimation with real data: cubature kalman filter, unscented kalman filter and extended kalman filter, Adv Space Res, 63, 1038, 10.1016/j.asr.2018.10.003 Chang, 2012, Transformed unscented kalmanfilter, IEEE Trans Automat Contr, 58, 252, 10.1109/TAC.2012.2204830 Cheng, 2010, Particle filtering for attitudeestimation using a minimal local-error representation, J Guidance Control Dyn, 33, 1305, 10.2514/1.47236 Park, 2007, Nonlinear semi-analytic methods fortrajectory estimation, J Guidance, Control Dyn, 30, 1668, 10.2514/1.29106 Majji, 2008, A high order method forestimation of dynamic systems, J Astronautic Sci, 56, 401, 10.1007/BF03256560 Germani, 2009, State estimation ofstochastic systems with switching measurements: a polynomial approach, Int J Robust Nonlinear Control, 19, 1632, 10.1002/rnc.1441 Cavenago, 2019, On-boardspacecraft relative pose estimation with high-order extended kalman filter, Acta Astronaut, 158, 55, 10.1016/j.actaastro.2018.11.020 Valli, 2014, Nonlinearfiltering methods for spacecraft navigation based on differential algebra, Acta Astronaut, 94, 363, 10.1016/j.actaastro.2013.03.009 Alessi, 2009 Chen, 2019, Jettransport-based nonlinear state and parameter estimation for geostationaryspacecraft, Acta Astronaut, 10.1016/j.actaastro.2019.08.009 Isserlis, 1918, On a formula for the product-moment coefficient of anyorder of a normal frequency distribution in any number of variables, Biometrika, 12, 134, 10.2307/2331932 Bar-Shalom, 2004 Vasile, 2019, Set propagation indynamical systems with generalised polynomial algebra and its computationalcomplexity, Commun Nonlinear Sci Numeric Simulat, 75, 22, 10.1016/j.cnsns.2019.03.019 https://github.com/strath-ace/smart-uq, https://github.com/dacelib/dace. Montenbruck, 2012