Precise real-time orbit estimation using the Unscented Kalman Filter

Advances in the Astronautical Sciences

Volumn 114 III, Issue , 2003, Pages 1853-1872

  Lee, Deok Jin ^a   Alfriend, Kyle T ^a  

^a Texas AandM University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EARTH-ORBITING SATELLITES; REAL-TIME ORBIT ESTIMATION;

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; KALMAN FILTERING; NONLINEAR FILTERING; PROBABILITY DISTRIBUTIONS; SATELLITES; TRACKING RADAR;

ORBITS;

EID: 1542329736     PISSN: 00653438     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Alfriend, K. T., "A Dynamic Algorithm for the Processing of UTCs", AAS/AIAA Astrodynamics Specialist Conference, Sun Valley, ID, Aug. 4-7, 1997, pp. 123-131.
2. Vallado, D. A., "Accurate Orbit Determination from Short-Arc Dense Obervational Data", The Journal of the Astronautical Sciences, Vol. 46, No. 2, April-June 1998, pp. 195-213.
3. Jazwinski, A. H., Stochasitc Processes and Filtering Theory, Academic Press, New York, 1970.
4. Julier, S. J., Uhlmann, J. K., and Durrant-Whyte, H. F., "A New Approach for Filtering Nonlinear Systems," Proceedings of the American Control Conference, Seattle, WA, 1995, pp. 1628-1632.
5. Julier, S. J., Uhlmann, J. K., and Durrant-Whyte, H. F., "A New Method for Nonlinear Transformation of Means and Covariances in Filters and Estimators," IEEE Transaction on Automatic Control, Vol. 45, No. 3, March 2000, pp. 477-482.
6. Julier, S. J., and Uhlmann, J. K., "A New Extension of the Kalman Filter to Nonlinear Systems," The 11th International Symposium on Aerospace Defense Sensing, Simulation and Controls, Orland, FL, 1997.
7. Akella, M. R., Junkins, J. L., and Alfriend, K. T., "Some Consequences of Force Model Uncertainty on Probability of Collision with Orbital Debris", Paper No. 97-606, AAS/AIAA Astrodynamics Specialist Conference, Sun Valley, ID, Aug. 4-7, 1997.
8. Prost, P. A., and Kailath, T., "An Innovations Approach to Least-Squares Estimation-Part III: Nonlinear Estimation in White Gaussian Noise", IEEE Transactions on Automatic Control, Vol. AC-16, No. 3, June 1971, pp. 217-226.
9. Vallado, D. A., Fundamentals of Astrodynamics and Applications, McGraw-Hill, New York, NY, 1997.
10. Julier, S. J., "The Scaled Unscented Transformation," Proceedings of the American Control Conference, Anchorage, AK, May 2002, pp. 1108-1114.
11. Julier, S. J., "A Skewed Approach for Filtering," The 12th International Symposium on Aerospace Defense Sensing, Simulation and Controls, Orland, FL, 1998.
12. Wan, E. A., and van der Merwe, R., "The Unscented Kalman Filter," Kalman Filtering and Neural Networks, edited by S. Haykins, Chap. 7, John Wiley&Sons, New York, NY, 2001.
13. Gelb, A., editor, Applied Optimal Estimation, The MIT Press, Cambridge, MA, 1974.
14. van der Merwe, R., and Wan, E. A., "Efficient Derivative-Free Kalman Filters for Online Learning," European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, April 2001.
15. Wilkins, M. P., and Alfriend, K. T., "Characterizing Orbit Uncertainty Due to Atmospheric Uncertainty", Paper No. 2000-3931, AIAA/AAS Astrodynamics Specialist Conference, Denver, CO, Aug. 14-17, 2000.