Yu Z J, Wei J M, Liu H T. A new adaptive maneuvering target tracking algorithm using artificial neural networks[C]. Proc of the International Joint Conf on Neural Networks. Washington DC: IEEE Press, 2008: 901-905.
[2]
Hajiyev C, Caliskan F. Sensor/actuator fault diagnosis based on statistical analysis of innovation sequence and Robust Kalman filtering[J]. Aerospace Science and Technology, 2000, 4(6): 415-422.
[3]
Soken H E, Hajiyev C. Pico satellite attitude estimation via robust unscented Kalman filter in the presence of measurement faults[J]. ISA transactions, 2010, 49(3): 249-256.
[4]
Hajiyev C, Ersin H. Robust adaptive kalman filter for estimation of UAV dynamics in the presence of sensor/actuator faults[J]. Aerospace Science and Technology, 2013, 28(1): 1-8.
[5]
Edwards C, Spurgeon S K, Patton R J. Sliding mode observers for fault detection and isolation[J]. Automatica, 2000, 36(4): 541-553.
[6]
Tan C P, Edwards C. Sliding mode observers for detection and reconstruction of sensor faults[J]. Automatica, 2002, 38(10): 1815-1821.
[7]
Tan C P, Edwards C. Sliding mode observers for robust fault reconstruction in nonlinear systems[J]. Lecture Notes in Control and Information Science, 2003, 281(1): 373-383.
[8]
Yang Yuanxi, Gao Weiguang. A new learning statistic for adaptive filter based on predicted residuals[J]. Progress in Natural Science, 2006, 16(8): 833-837.
[9]
Yang Yuanxi, GaoWeiguang. An optimal adaptive Kalman filter[J]. J of Geodesy, 2006, 80(4): 177-183.
[10]
Yang Y, He H, Xu G. Adaptively robust filtering for kinematic geodetic positioning[J]. J of Geodesy, 2001, 75(2/3): 109-116.
[11]
Boutayeb M, Rafaralahy H, Darouach M. Convergence analysis of the extended Kalman filter used as an observer for nonlinear deterministic discrete-time systems[J]. IEEE Trans on Automatic Control, 1997, 42(4): 581-586.
(Sun F, Tang L J. Estimation precision comparison of Cubature Kalman filter and Unscented Kalman filter[J]. Control and Decision, 2013, 28(2): 303-312.)
[16]
Myers K A, Tapley B D. Adaptive sequential estimation with unknown noise statistics[J]. IEEE Trans on Automatic Control, 1976, 21(4): 520-523.
[17]
Hide C, Moore T, Smith M. Adaptive Kalman filtering for low-cost INS/GPS[J]. J of Navigation, 2003, 56(1): 143-152.
(Shi Y, Han C Z. Adaptive UKF method with applications to target tracking[J]. Acta Automatica Sinica, 2011, 37(6): 754-759.)
[20]
Sorenson H W. Kalman filtering: Theory and application[M]. New York: IEEE Press, 1985: 23-47.
[21]
Uhlmann J K. Algorithm for multiple target tracking[J]. American Science, 1992, 80(2): 128-141.
[22]
Julier S J, Uhlmann J K, Durrant-Whyte H F. A new approach for filtering nonlinear systems[C]. Proc of the American Control Conf. Seattle Washington, 1995, 3: 1628-1632.
[23]
Julier S J, Uhlmann J K, Durrant-Whyte H F. A new method for nonlinear transformation of means and covariances in filters and estimators[J]. IEEE Trans on Automatic Control, 2000, 45(3): 477-482.
[24]
Julier S J, Uhlmann J K. Unscented filtering and nonlinear estimation[C]. Proc of the IEEE, 2004, 92(3): 401-422.
[25]
Gordon N J, Salmond D J, Smith A F M. Novel approach to nonlinear and non-Gaussian Bayesian state estimation[J]. IEEE Proc on Radar and Signal Processing, 1993, 140(2): 107-113.
[26]
Jayamohan S, Mathurakani M. Noise analysis of marginalized particle filter for target tracking[C]. Int Conf on Microelectronics Communication and Renewable Energy. Madrid: IEEE, 2013: 1-6.
[27]
Xiong K, Chan C, Zhang H S. Detection of satellite attitude sensor faults using the UKF[J]. IEEE Trans on Aerospace and Electronic Systems, 2007, 43(2): 480-491.
[28]
Gaoge Hu, Shesheng Gao, Li Xue. A novel adaptive unscented Kalman filter[C]. 2012 Int Conf on Intelligent Control and Information Processing. Dalian: IEEE Press, 2012: 497-502.
(Zhao L, Wang X X, Sun M, et al. Adaptive UKF filtering algorithm based on maximum a posterior estimation and exponential weighting[J]. Acta Automatica Sinica, 2010, 36(7): 1007-1019.)
[31]
Ersin Soken H, Shin-ichiro Sakai. Residual based adaptive unscented kalman filter for satellite attitude estimation[C]. AIAA Guidance, Navigation and Control Conf. Minneapolis, 2012: 4476.
[32]
James Richard Forbes. Extended kalman filter and sigma point filter approaches to adaptive filtering[C]. AIAA Guidance, Navigation and Control Conf. Toronto, 2010: 7748.
[33]
Song Qi, Han Jianda. An adaptive UKF algorithm for the state and parameter estimation of a mobile robot[J]. Acta Automatica Sinica, 2008, 34(1): 72-79.
