Decades of improvements in re-entry ballistic vehicle tracking
暂无分享,去创建一个
[1] A. Farina,et al. Tracking a ballistic target: comparison of several nonlinear filters , 2002 .
[2] Subhash Challa,et al. Nonlinear filter design using Fokker-Planck-Kolmogorov probability density evolutions , 2000, IEEE Trans. Aerosp. Electron. Syst..
[3] Paul Zarchan,et al. Comparison of Four Filtering Options for a Radar Tracking Problem , 1998 .
[4] A. V. Mrstik,et al. A track filter for reentry objects with uncertain drag , 1999 .
[5] Jeffrey K. Uhlmann,et al. New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.
[6] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[7] R. E. Kalman,et al. New Results in Linear Filtering and Prediction Theory , 1961 .
[8] Paul Zarchan,et al. Comparison of Filtering Options for Ballistic Coefficient Estimation , 1998 .
[9] R. Mehra. A comparison of several nonlinear filters for reentry vehicle tracking , 1971 .
[10] Neil J. Gordon,et al. Editors: Sequential Monte Carlo Methods in Practice , 2001 .
[11] R. Fitzgerald,et al. Decoupled Kalman filters for phased array radar tracking , 1983 .
[12] R. L. Cooperman,et al. Tactical ballistic missile tracking using the interacting multiple model algorithm , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).
[13] F. Regan,et al. Dynamics of atmospheric re-entry , 1993 .
[14] P. Minvielle. Tracking a ballistic re-entry vehicle with a sequential Monte-Carlo filter , 2002, Proceedings, IEEE Aerospace Conference.
[15] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[16] P. J. Costa,et al. Extended Kalman-Bucy filters for radar tracking and identification , 1991, Proceedings of the 1991 IEEE National Radar Conference.