Fusion Methodologies for Orbit Determination with Distributed Sensor Networks
暂无分享,去创建一个
[1] James S. McCabe,et al. Efficient multi-sensor data fusion for space surveillance , 2015, 2015 American Control Conference (ACC).
[2] L. Schiff,et al. Quantum Mechanics, 3rd ed. , 1973 .
[3] Murat Üney,et al. Distributed Fusion of PHD Filters Via Exponential Mixture Densities , 2013, IEEE Journal of Selected Topics in Signal Processing.
[4] M. Hurley. An information theoretic justification for covariance intersection and its generalization , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).
[5] James S. McCabe,et al. Multi-Sensor Data Fusion in Non-Gaussian Orbit Determination , 2014 .
[6] Tom Heskes,et al. Selecting Weighting Factors in Logarithmic Opinion Pools , 1997, NIPS.
[7] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[8] Simon J. Julier,et al. On conservative fusion of information with unknown non-Gaussian dependence , 2012, 2012 15th International Conference on Information Fusion.
[9] Yuhong Yang. Elements of Information Theory (2nd ed.). Thomas M. Cover and Joy A. Thomas , 2008 .
[10] Jeffrey K. Uhlmann,et al. A non-divergent estimation algorithm in the presence of unknown correlations , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).
[11] Rudolph van der Merwe,et al. Sigma-point kalman filters for probabilistic inference in dynamic state-space models , 2004 .
[12] K.. Dynamic Map Building and Localization : New Theoretical Foundations , 2015 .
[13] Vaibhava Goel,et al. A fast, accurate approximation to log likelihood of Gaussian mixture models , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[14] Ba-Ngu Vo,et al. The Gaussian Mixture Probability Hypothesis Density Filter , 2006, IEEE Transactions on Signal Processing.
[15] H. Sorenson,et al. Nonlinear Bayesian estimation using Gaussian sum approximations , 1972 .
[16] Uwe D. Hanebeck,et al. Closed-form optimization of covariance intersection for low-dimensional matrices , 2012, 2012 15th International Conference on Information Fusion.
[17] Jeffrey K. Uhlmann,et al. General Decentralized Data Fusion With Covariance Intersection (CI) , 2001 .
[18] Andrzej Cichocki,et al. Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities , 2010, Entropy.
[19] Kyle J. DeMars,et al. Probabilistic Initial Orbit Determination Using Gaussian Mixture Models , 2013 .
[20] Jeffrey K. Uhlmann,et al. Using Exponential Mixture Models for Suboptimal Distributed Data Fusion , 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.
[21] Jose C. Principe,et al. Information Theoretic Learning - Renyi's Entropy and Kernel Perspectives , 2010, Information Theoretic Learning.