[1] ZHANG G D, LI C L. An UKF target tracking method with effective suppression of angular glint[C]//2013 10th IEEE International Conference on Control and Automation (ICCA). Piscataway:IEEE Press, 2013:956-960. [2] PICHÉ R, SÄRKKÄ S, HARTIKAINEN J. Recursive outlier-robust filtering and smoothing for nonlinear systems using the multivariate student-t distribution[C]//2012 IEEE International Workshop on Machine Learning for Signal Processing. Piscataway:IEEE Press, 2012:1-6. [3] LI H W, WANG J. Particle filter formanoeuvring target tracking via passive radar measurements with glint noise[J]. IET Radar, Sonar & Navigation, 2012, 6(3):180. [4] DONG P, JING Z L, LEUNG H, et al. The labeled multi-bernoulli filter for multitarget tracking with glint noise[J]. IEEE Transactions on Aerospace and Electronic Systems, 2019, 55(5):2253-2268. [5] SARKKA S. Bayesian filtering and smoothing[M].Cambridge:Cambridge University Press, 2009. [6] ZHONG S K, CHIRARATTANANON P. Direct visual-inertial EGO-motion estimation via iterated extended Kalman filter[J]. IEEE Robotics and Automation Letters, 2020, 5(2):1476-1483. [7] JULIER S J, UHLMANN J K. Unscented filtering and nonlinear estimation[J]. Proceedings of the IEEE, 2004, 92(3):401-422. [8] ARASARATNAM I, HAYKIN S. Cubature Kalman filters[J]. IEEETransactions on Automatic Control, 2009, 54(6):1254-1269. [9] ARASARATNAM I, HAYKIN S, ELLIOTT R J. Discrete-time nonlinear filtering algorithms using gauss-hermite quadrature[J]. Proceedings of the IEEE, 2007, 95(5):953-977. [10] MURATA M, KAWANO I, INOUE K. Extended, unscented Kalman, and Sigma point multiple distribution estimation filters for nonlinear discrete state-space models[J]. IEEE Control Systems Letters, 2020, 4(4):982-987. [11] GUO R X, WEI Z L, WEI Y. State estimation for the electro-hydraulic actuator based on particle filter with an improved resampling technique[J]. Proceedings of the Institution of Mechanical Engineers, Part O:Journal of Risk and Reliability, 2020, 234(1):41-51. [12] GARCÍA-FERNÁNDEZ Á F, SVENSSON L, MORELANDE M R, et al. Posterior linearization filter:Principles and implementation using sigma points[J]. IEEE Transactions on Signal Processing, 2015, 63(20):5561-5573. [13] LIU X, QU H, ZHAO J H, et al. Maximum correntropy unscented Kalman filter for spacecraft relative state estimation[J]. Sensors, 2016, 16(9):1530. [14] YIN L J, DENG Z H, HUO B Y, et al. Robust derivative unscented Kalman filter under non-Gaussian noise[J]. IEEE Access, 2018, 6:33129-33136. [15] MARONNA R. Robust statistical methods[M]//International encyclopedia of statistical science. Berlin, Heidelberg:Springer, 2011:1244-1248. [16] KARLGAARD C D, SCHAUB H. Huber-based divided difference filtering[J]. Journal of Guidance, Control, and Dynamics, 2007, 30(3):885-891. [17] WANG X, CUI N, GUO J. Huber-based unscented filtering and its application to vision-based relative navigation[J]. IET Radar, Sonar & Navigation, 2010, 4(1):134. [18] KARLGAARD C D, SCHAUB H. Adaptive nonlinear Huber-based navigation for rendezvous in elliptical orbit[J]. Journal of Guidance, Control, and Dynamics, 2011, 34(2):388-402. [19] SCARDUA L A, DA CRUZ J J. Complete offline tuning of the unscented Kalman filter[J]. Automatica, 2017, 80:54-61. [20] CILDEN-GULER D, RAITOHARJU M, PICHE R, et al. Nanosatellite attitude estimation using Kalman-type filters with non-Gaussian noise[J]. Aerospace Science and Technology, 2019, 92:66-76. [21] DOVOEDO Y H, CHAKRABORTI S. Boxplot-based outlier detection for the location-scale family[J]. Communications in Statistics-Simulation and Computation, 2015, 44(6):1492-1513. [22] HERSHEY J R, OLSEN P A. Approximating the kullback leibler divergence between Gaussian mixture models[C]//2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP'07. Piscataway:IEEE Press, 2007:IV-317-IV-320. [23] GREWAL M S, ANDREWS A P. Kalman filtering[M]. Hoboken:John Wiley & Sons, Inc., 2014. [24] 李伟. 鲁棒自适应滤波算法及在飞行器技术中的应用研究[D]. 上海:上海交通大学, 2014:29-30. LI W. Research on robust adaptive filter algorithms and their applications to flight vehicle technology[D]. Shanghai:Shanghai Jiaotong University, 2014:29-30(in Chinese). [25] 耿修林. 方差推断时样本容量的确定[J]. 统计与决策, 2008(16):23-25. GENG X L. Determination of sample size when inferring variance[J]. Statistics and Decision, 2008(16):23-25(in Chinese). |