Abstract
Star tracker is one of the most important spacecraft attitude sensors which can achieve accuracies within several arc-seconds utilizing star identification and star tracking. The refresh rate and accuracy of star tracker are constrained as there are so many stars in the sky. A novel star identification and tracking method for star tracker using optical correlator is proposed to solve this problem of star map comparing and identification. The proposed optical correlator can optically execute the correlation operation between current star map and the standard star map constructed from the star catalog. The whole sky star identification can be completed within 100ms due to the inherent parallel computing ability of optical correlator. Star map motion can be tracking with an accuracy of up to 1/100 pixel. Computer simulations and experiments indicate that this method has great robustness to small signal-to-noise ratio, and improve the performance of star tracker remarkably.
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References
Liebe, C.C.: Accuracy Performance of Star Trackers -A Tutorial. IEEE T. Aero. Elec. Sys. 38, 587–599 (2002)
Eisenman, A.R., Liebe, C.C.: Advancing State-of-the-Art in Second Generation Star Trackers. In: 1998 IEEE Aerospace Conference, vol. 1, pp. 111–118. IEEE, Los Alamitos (1998)
Liebe, C.C.: Pattern Recognition of Star Constellations for Spacecraft Applications. IEEE Aero. El. Sys. Mag. 8, 31–39 (1993)
Meng, N., Peifa, J.: A Survey of All-sky Autonomous Star Identification Algorithms. In: 1st International Symposium on Systems and Control in Aerospace and Astronautics, Harbin, China, pp. 896–901. IEEE, Los Alamitos (2006)
Samaan, M.A., Mortari, D., Junkins, J.L.: Recursive Mode Star Identification Algorithms. IEEE T. Aero. Elec. Sys. 41, 1246–1254 (2005)
VanderLugt: Signal Detection by Complex Spatial Filtering. IEEE Trans. Inf. Theory IT-10, 139–145 (1964)
Weaver, C.S., Goodman, J.W.: A Technique for Optically Convolving Two Functions. Appl. Opt. 5, 1248–1249 (1966)
Janschek, K., Tchernykh, V., Dyblenko, S.: Performance Analysis of Opto-Mechatronic Image Stabilization for a Compact Space Camera. Control Eng. Pract. 15, 333–347 (2007)
Alam, M.S., Bal, A.: Improved Multiple Target Tracking via Global Motion Compensation and Optoelectronic Correlation. IEEE T. Ind. Electron 54, 522–529 (2007)
Tchernykh, V., Beck, M., Janschek, K.: An Embedded Optical Flow Processor for Visual Navigation using Optical Correlator Technology. In: 2006 IEEE/RSJ IROS 2006, Beijing, China, pp. 67–72. IEEE, Los Alamitos (2006)
Bergeron, A., Bourqui, P., Harnisch, B.: Lightweight Compact Optical Correlator for Spacecraft Docking. In: Electro-Optical Remote Sensing, Detection, and Photonic Technologies and Their Applications, vol. 6739, p. 67390. SPIE, Florence (2007)
Chao, T.H., Lu, T.: System Issues of Developing Grayscale Optical Correlator for ATR Applications. In: Proceedings of SPIE, vol. 6574, p. 657405 (2007)
Chao, T.H., Lu, T., Zhou, H.: Recent Progress on Grayscale Optical Correlator for Automatic Target Recognition. In: Proceedings of SPIE, vol. 6245, p. 624503 (2006)
Padgett, C., Kreutz-Delgado, K.: A Grid Algorithm for Autonomous Star Identification. IEEE T. Aero. Elec. Sys. 33, 202–212 (1997)
Silani, E., Lovera, M.: Star Identification Algorithms: Novel Approach and Comparison Study. IEEE T. Aero. Elec. Sys. 42, 1275–1288 (2006)
Akkiraju, N.: Approximating Spheres and Sphere Patches. Comput. Aided Geom. D. 15, 739–756 (1998)
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Hui, J. et al. (2009). Optical Correlator for Star Identification and Tracking. In: Dolev, S., Oltean, M. (eds) Optical SuperComputing. OSC 2009. Lecture Notes in Computer Science, vol 5882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10442-8_19
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DOI: https://doi.org/10.1007/978-3-642-10442-8_19
Publisher Name: Springer, Berlin, Heidelberg
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