Linear estimation with transformed measurement for nonlinear estimation
暂无分享,去创建一个
Yu Liu | Huimin Chen | X. Rong Li | Huimin Chen | Yu Liu | X. Li
[1] X. Rong Li,et al. Measure of nonlinearity for stochastic systems , 2012, 2012 15th International Conference on Information Fusion.
[2] Yu Liu,et al. Generalized linear minimum mean-square error estimation with application to space-object tracking , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.
[3] Jeffrey K. Uhlmann,et al. Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.
[4] Bruce A. McElhoe,et al. An Assessment of the Navigation and Course Corrections for a Manned Flyby of Mars or Venus , 1966, IEEE Transactions on Aerospace and Electronic Systems.
[5] LI X.RONG,et al. Best linear unbiased filtering with nonlinear measurements for target tracking , 2004, IEEE Transactions on Aerospace and Electronic Systems.
[6] X. R. Li,et al. Survey of maneuvering target tracking. Part I. Dynamic models , 2003 .
[7] Simon J. Julier,et al. The scaled unscented transformation , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).
[8] Y. Bar-Shalom,et al. Unbiased converted measurements for tracking , 1998 .
[9] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[10] S. Haykin,et al. Cubature Kalman Filters , 2009, IEEE Transactions on Automatic Control.
[11] Stanley A. Mulaik,et al. The Curve-Fitting Problem: An Objectivist View , 2001, Philosophy of Science.
[12] Edward W. Kamen,et al. Multiple target tracking using products of position measurements , 1993 .
[13] Kazufumi Ito,et al. Gaussian filters for nonlinear filtering problems , 2000, IEEE Trans. Autom. Control..
[14] Uwe D. Hanebeck,et al. The Kernel-SME filter for multiple target tracking , 2012, Proceedings of the 16th International Conference on Information Fusion.
[15] F. Carravetta,et al. Polynomial filtering of discrete-time stochastic linear systems with multiplicative state noise , 1997, IEEE Trans. Autom. Control..
[16] Ienkaran Arasaratnam. Cubature Kalman Filtering Theory & Applications , 2009 .
[17] S. F. Schmidt. APPLICATION OF STATISTICAL FILTER THEORY TO THE OPTIMAL ESTIMATION OF POSITION AND VELOCITY ON BOARD A CIRCUMLUNAR VEHICLE , 2022 .
[18] Vesselin P. Jilkov,et al. A survey of maneuvering target tracking: approximation techniques for nonlinear filtering , 2004, SPIE Defense + Commercial Sensing.
[19] Aaron D. Lanterman,et al. Unscented Kalman Filters for Multiple Target Tracking With Symmetric Measurement Equations , 2009, IEEE Transactions on Automatic Control.
[20] Yu Liu,et al. Recursive LMMSE filtering for target tracking with range and direction cosine measurements , 2010, 2010 13th International Conference on Information Fusion.
[21] Niels Kjølstad Poulsen,et al. New developments in state estimation for nonlinear systems , 2000, Autom..
[22] O. Costa. Linear minimum mean square error estimation for discrete-time Markovian jump linear systems , 1994, IEEE Trans. Autom. Control..
[23] F. Carravetta,et al. Polynomial Filtering for Linear Discrete Time Non-Gaussian Systems , 1996 .
[24] V. Jilkov,et al. Survey of maneuvering target tracking. Part V. Multiple-model methods , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[25] E. Kamen,et al. Multiple Target Tracking based on Symmetric Measurement Equations , 1989, 1989 American Control Conference.
[26] Ba-Ngu Vo,et al. On performance evaluation of multi-object filters , 2008, 2008 11th International Conference on Information Fusion.
[27] X. Rong Li,et al. Nonlinear estimation by linear estimation with augmentation of uncorrelated conversion , 2014, 17th International Conference on Information Fusion (FUSION).
[28] P. Suchomski. Explicit expressions for debiased statistics of 3D converted measurements , 1999 .
[29] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[30] R. E. Kalman,et al. New Results in Linear Filtering and Prediction Theory , 1961 .
[31] Uwe D. Hanebeck,et al. S2KF: The Smart Sampling Kalman Filter , 2013, Proceedings of the 16th International Conference on Information Fusion.
[32] Hugh F. Durrant-Whyte,et al. A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..
[33] Ba-Ngu Vo,et al. A Consistent Metric for Performance Evaluation of Multi-Object Filters , 2008, IEEE Transactions on Signal Processing.
[34] Vince D. Calhoun,et al. Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering , 2011, NeuroImage.
[35] Robert J. Elliott,et al. Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature , 2007, Proceedings of the IEEE.
[36] Yaakov Bar-Shalom,et al. Tracking with debiased consistent converted measurements versus EKF , 1993 .
[37] A. Germani,et al. Optimal quadratic filtering of linear discrete-time non-Gaussian systems , 1995, IEEE Trans. Autom. Control..
[38] E. Kamen,et al. SME filter approach to multiple target tracking with radar measurements , 1993 .
[39] X. Rong Li,et al. Measuring Estimator's Credibility: Noncredibility Index , 2006, 2006 9th International Conference on Information Fusion.
[40] A.D. Lanterman,et al. Multiple target tracking with symmetric measurement equations using unscented Kalman and particle filters , 2004, Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the.
[41] Uwe D. Hanebeck,et al. Modeling the target extent with multiplicative noise , 2012, 2012 15th International Conference on Information Fusion.
[42] Ronald Cools,et al. Advances in multidimensional integration , 2002 .
[43] Yu Liu,et al. Generalized linear minimum mean-square error estimation , 2013, Proceedings of the 16th International Conference on Information Fusion.
[44] Alfredo Germani,et al. Robust planar tracking via a virtual measurement approach , 2013, Eur. J. Control.
[45] X. Rong Li,et al. Evaluation of Estimation Algorithms: Credibility Tests , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[46] Uwe D. Hanebeck,et al. Optimal Gaussian filtering for polynomial systems applied to association-free multi-target tracking , 2011, 14th International Conference on Information Fusion.
[47] Mohamed T. Hadidi,et al. Linear recursive state estimators under uncertain observations , 1978 .