In-flight calibration of imaging complex of a spacecraft using unknown landmarks without GPS messages attracting
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1Tkachenko, AI 1International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kyiv, Ukraine |
Space Sci.&Technol. 2016, 22 ;(4):29-37 |
https://doi.org/10.15407/knit2016.04.029 |
Publication Language: Russian |
Abstract: The problem of refining the parameters of the mutual attitude of the onboard imaging camera and the star tracker installed on the orbiting spacecraft is considered. A distinctive feature of the problem statement and the solution is that the refinement is based on observations of landmarks that are not georeferenced and no GPS messages are used.
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Keywords: camera, geo-referencing, in-flight geometric calibration, observability analysis, spacecraft, star tracker, unknown landmarks |
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2. Piatak I. A. The choice of principles of geographical location of spacecraft images. Kosmicheskaya tekhnika. Raketnoe vooruzhenie. Nauchno-tekhn. sb., No. 2, 100—107 (2010) [in Russian].
3. Somov E. I., Butyrin S. A. In-flight Geometric Calibration of a Space Telescope and a System of StarTrackers. Proc. Anniversary 8th Int. Conf. on System Identification and Control SCIPRO’09, 1189—1201 (Moscow, 2009).
4. Tkachenko A. I. In flight alignment of optical-electronic system of a spacecraft. J. Comput. and Syst. Sci. Int., 52 (6), 963—971 (2013) [in Russian].
https://doi.org/10.1134/S1064230713060117
5. Tkachenko A. I. To the problem of in-flight geometric calibration with use of unknown landmarks. Problemy upravleniya i informatiki, No. 1, 29—138 (2014) [in Russian].
6. Tkachenko A. I. On a geo-referencing of terrestrial objects using space snapshots. Kosm. nauka tehnol., 21 (2), 65—72 (2015).
https://doi.org/10.15407/knit2015.02.065
7. Potapenko Ye. M. Simplified linear-system restorability and controllability criteria and their application in robotics. J. Automation and Inform. Sci., 27 (5-6), 146—151 (1996) [in Russian].
https://doi.org/10.1615/JAutomatInfScien.v28.i5-6.170