Nonlinear filters: beyond the Kalman filter
暂无分享,去创建一个
[1] A. Jazwinski. Stochastic Processes and Filtering Theory , 1970 .
[2] R. Mehra. A comparison of several nonlinear filters for reentry vehicle tracking , 1971 .
[3] Arthur Gelb,et al. Applied Optimal Estimation , 1974 .
[4] Harold W. Sorenson,et al. On the development of practical nonlinear filters , 1974, Inf. Sci..
[5] Harold W. Sorenson,et al. Parameter estimation: Principles and problems , 1980 .
[6] V. Benes. Exact finite-dimensional filters for certain diffusions with nonlinear drift , 1981 .
[7] Michiel Hazewinkel,et al. Preface : Stochastic systems : the mathematics of filtering and identification and applications , 1981 .
[8] Donald Leskiw,et al. Nonlinear Estimation with Radar Observations , 1982, IEEE Transactions on Aerospace and Electronic Systems.
[9] T. Hida. Stochastic systems: The mathematics of filtering and identification and applications , 1983 .
[10] R. Fitzgerald,et al. Decoupled Kalman filters for phased array radar tracking , 1983 .
[11] F. Daum. Exact finite dimensional nonlinear filters , 1985, 1985 24th IEEE Conference on Decision and Control.
[12] H. W. Sorenson,et al. Kalman filtering : theory and application , 1985 .
[13] Frederick E. Daum. New Nonlinear Filters and Exact Solutions of the Fokker-Planck Equation , 1986, 1986 American Control Conference.
[14] Frederick E. Daum,et al. Solution of the Zakai Equation by Separation of Variables , 1987, 1987 American Control Conference.
[15] G. Stewart,et al. Theory of the Combination of Observations Least Subject to Errors , 1987 .
[16] G. C. Schmidt. Designing nonlinear filters based on Daum's theory , 1993 .
[17] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[18] D. Herschbach,et al. Dimensional Scaling in Chemical Physics , 1993 .
[19] Hisashi Tanizaki,et al. Nonlinear filters , 1993 .
[20] Fred Daum. New exact nonlinear filters: theory and applications , 1994, Defense, Security, and Sensing.
[21] Mark A Fleming,et al. Meshless methods: An overview and recent developments , 1996 .
[22] Fred Daum. Practical nonlinear filtering with the method of virtual measurements , 1997, Optics & Photonics.
[23] Bernard Hanzon,et al. Approximate nonlinear filtering by projection on exponential manifolds of densities , 1999 .
[24] Subhash Challa,et al. Nonlinear filter design using Fokker-Planck-Kolmogorov probability density evolutions , 2000, IEEE Trans. Aerosp. Electron. Syst..
[25] 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..
[26] K. Ito. Gaussian filter for nonlinear filtering problems , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).
[27] Michael B. Giles,et al. Adjoint Recovery of Superconvergent Functionals from PDE Approximations , 2000, SIAM Rev..
[28] Kazufumi Ito,et al. Gaussian filters for nonlinear filtering problems , 2000, IEEE Trans. Autom. Control..
[29] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[30] Multiple-model nonlinear filtering for low-signal ground target applications , 2001, SPIE Defense + Commercial Sensing.
[31] Stanton Musick,et al. Comparison of Particle Method and Finite Difference Nonlinear Filters for Low SNR Target Tracking , 2001 .
[32] Arnaud Doucet,et al. A survey of convergence results on particle filtering methods for practitioners , 2002, IEEE Trans. Signal Process..
[33] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[34] S. Godsill,et al. Special issue on Monte Carlo methods for statistical signal processing , 2002 .
[35] Torsten Söderström,et al. Anticipative grid design in point-mass approach to nonlinear state estimation , 2002, IEEE Trans. Autom. Control..
[36] M. Giles,et al. Adjoint methods for PDEs: a posteriori error analysis and postprocessing by duality , 2002, Acta Numerica.
[37] Endre Süli,et al. Acta Numerica 2002: Adjoint methods for PDEs: a posteriori error analysis and postprocessing by duality , 2002 .
[38] Mira Antonietta,et al. Variance reduction in MCMC , 2003 .
[39] F. Markley,et al. Unscented Filtering for Spacecraft Attitude Estimation , 2003 .
[40] J. Huang,et al. Curse of dimensionality and particle filters , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).
[41] Jim Huang,et al. Nonlinear filtering with quasi-Monte Carlo methods , 2003, SPIE Optics + Photonics.
[42] Nigel J. Newton,et al. Information Flow and Entropy Production in the Kalman-Bucy Filter ∗ , 2004 .
[43] Branko Ristic,et al. Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .
[44] Fred Daum,et al. Physics-based computational complexity of nonlinear filters , 2004, SPIE Defense + Commercial Sensing.
[45] Aubrey B. Poore,et al. Batch maximum likelihood (ML) and maximum a posteriori (MAP) estimation with process noise for tracking applications , 2003, SPIE Optics + Photonics.
[46] Nigel J. Newton,et al. Information and Entropy Flow in the Kalman–Bucy Filter , 2005 .
[47] Endre Süli,et al. Adaptive finite element methods for differential equations , 2003, Lectures in mathematics.