Geometric voting algorithm for star trackers

IEEE Transactions on Aerospace and Electronic Systems

Volumn 44, Issue 2, 2008, Pages 441-456

  Kolomenkin, Michael ^a   Pollak, Sharon ^b   Shimshoni, Ilan ^c   Lindenbaum, Michael ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^b Ness Technologies Ltd   (Israel)

^c UNIVERSITY OF HAIFA   (Israel)

Author keywords

Brightness; Calibration; Cameras; Distance measurement; Estimation; Least squares approximation; Robustness

Indexed keywords

ALGORITHMS; ARSENIC COMPOUNDS; BOOLEAN FUNCTIONS; CAMERAS; IMAGE ENHANCEMENT;

ANGULAR DISTANCES; FAST TRACKING; SIMULATED DATA; STAR TRACKERS; STATE-OF-THE-ART ALGORITHMS; VOTING ALGORITHM; VOTING SCHEMES;

STARS;

EID: 48749091230     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2008.4560198     Document Type: Article

References (27)

1. Fujikawa, S. Spacecraft attitude determination by Kalman filtering of global positioning system signals. Journal of Guidance, Control, and Dynamics, 18, 6 (1995), 1365-1371.
2. Lightsey, E., and Madsen, J. Three-axis attitude determination using global positioning system signal strength measurements. Journal of Guidance, Control, and Dynamics, 26, 2 (2003), 304-310.
3. Liebe, C., Gromov, K., and Meller, D. Toward a stellar gyroscope for spacecraft attitude determination. Journal of Guidance, Control, and Dynamics, 27, 1 (2004), 91-99.
4. Tsai, R. A versatile camera calibration technique for high accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Journal of Robotics and Automation, 3, 4 (Aug. 1987), 323-344.
5. Bouguet, J. Y. Camera Calibration Toolbox for Matlab. http:// www.vision.caltech.edu/bouguetj/calib_doc/, 2002.
6. Samaan, M. A., Mortari, D., and Junkins, J. L. Non-dimensional star identification for uncalibrated star cameras. Department of Aerospace Engineering, Texas A&M University, College Station, Technical Report AAS 03-131, 2003.
7. Samaan, M. A., Grffith, T., Singla, P., and Junkins, J. L. Autonomous on-orbit calibration of star trackers. Department of Aerospace Engineering, Texas A&M University, College Station, Technical Report, 2003.
8. Zuiderwijk, S., Kruijff, M., and v. D. Heide, E. J. SSATT: A tool for automated evaluation of star sensor design, performance and on-board algorithms. In ESA SP-425: Spacecraft Guidance, Navigation and Control Systems, Feb. 2000, 18-21.
9. Accardo, D., and Rufino, G. Brightness-independent start-up routine for star trackers. IEEE Transactions on Aerospace and Electronics Systems 38, 3 (July 2002), 813-823.
10. Holst, G. C. CCD Arrays, Cameras, and Displays (2nd ed.). Winter Park, FL: JCD Publishing, 1998.
11. Padgett, C., Kreutz-Delgado, K., and Udomkesmalee, S. Evaluation of star identification techniques. Journal of Guidance, Control and Dynamics 20, 2 (Mar._Apr. 1997), 259-267.
12. Groth, E. A pattern-matching algorithm for two-dimensional coordinate lists. Astronomical Journal, 91 (1986), 1244-1248.
13. Mortari, D. Search less algorithm for star pattern recognition. The Journal of austronautical sciences, 45, 2 (Apr.-June 1997), 179-194.
14. Kim, H., and Junkins, J. L. Self-organizing guide star selection algorithm for star trackers: Thinning method. In IEEE Aerospace Conference Proceedings, 2002, 5:2275-2283.
15. Kosik, J. Star pattern identification aboard an inertially stabilized spacecraft. Journal of Guidance, Control and Dynamics, 14, 1 (1991), 230-235.
16. Samaan, M., Mortari, D., and Junkins, J. Recursive mode star identification algorithms. In AAS/AIAA Space Flight Mechanics Meeting Santa Barbara, CA, Feb. 2001.
17. Liebe, C. Pattern recognition of star constellations for spacecraft applications. IEEE Aerospace and Electronic Systems Magazine, 7 6 (1993), 34-41.
18. Kim, H. Y., Junkins, J. L., and Juang, J. N. An efficient and robust singular value method for star pattern recognition and attitude determination. NASA, Technical Report TM-2003-212142, 2003.
19. van Bezooijen, R. Techniques for optimizing an autonomous star tracker. U.S. Patent No. 5745869, Apr. 1998.
20. Lee, S. A simplified pattern matching algorithm for star identification. In Flight Mechanics/Estimation Theory Symposium (NASA Conference Publication 3333), 1996, 3-14.
21. Forsyth, D. A., and Ponce, J. Computer Vision: A Modern Approach. Upper Saddle River, NJ: Prentice-Hall, 2003.
22. Welch, G., and Bishop, G. An introduction to the Kalman filter. University of North Carolina at Chapel Hill, Technical Report, Mar. 2002.
23. Goddard, J. Pose and motion estimation from vision using dual quaternion-based extended Kalman filtering. Ph.D. dissertation, The University of Tennessee, Knoxville, Dec. 1997.
24. Heide, E., Kruijff, M., Douma, S., Oude-Lansink, D., and de Boom, C. Development and validation of a fast and reliable star sensor algorithm. IAF Melbourne, Technical Report 24.A.6.05, 1998.
25. Liebe, C. Accuracy performance of star trackers - A tutorial. IEEE Transactions on Aerospace and Electronics Systems, 38, 2 (Apr. 2002), 587-599.
26. Liebe, C. Star trackers for attitude determination. IEEE Aerospace and Electronic Systems Magazine, 10, 6 (1995), 10-16.
27. Kogan, A., Gipsman, A., Gueseva, I., Kimelman, B., and Vilshansky, A. Ground based sky observations: Feasibility test and instrument performance evaluation. Technion, Israel Institute of Technology, Technical Report 200015, 2000.