Determination of the orientation of the artificial Earth satellite in the case of diffusive scattering of light by its surface
| 1Epishev, VP, 1Kudak, VI, 1Motrunich, II, 1Perig, VM, 1Neubauer, IF, 2Prysiazhnyi, VI 1Space Research Laboratory of the Uzhgorod National University, Uzhgorod, Ukraine 2National Center of Space Facilities Control And Test, State Space Agency of Ukraine, Kyiv, Ukraine |
| Space Sci. & Technol. 2022, 28 ;(1):61-69 |
| https://doi.org/10.15407/knit2022.01.061 |
| Publication Language: Ukrainian |
Abstract: The paper considers the basics of the developed method for determining the orientation of low-orbit and geosynchronous spacecraft based on the results of observations of diffuse light scattering by their surfaces. This scattering can be described by phase functions that depend on the shape of the scattering surface, its orientation relative to the directions to the radiation source, and the receiver. Determining the orientation of the irradiated object in the selected coordinate system is one of the cases of solving the inverse problem. The surfaces of the spacecraft are a superposition of several stereometric surfaces that simultaneously scatter light onto the observer, but are differently oriented towards him, which greatly complicates the solution. The application of the developed method was carried out using the data of colorimetric observations of the American meteorological artificial satellite "NOAA-18", which has a cylindrical shape with two flat solar panels.
|
| Keywords: artificial satellites of the Earth, colorimetry, methodology, orientation, photometry |
References:
1. Grigorevsky, V.M. (1959). Determination of the satellite orientation in space using photometric data. Bul. stations wholesale. satellite observations, (10), 1-3. [In Russian]
2. Grigorevsky, V.M., Leikin G.A. (1960). Determination of the position of the axis of rotation of an elongated satellite in relation to the extreme values of brightness and the shift of the moments of the extremum. Bul. stations wholesale. satellite observations, (12), 3-9. [In Russian]
3. Davis, R. J., Whipple, F. L., & Zirker, J. B. (1960). The orbit of a small earth satellite. P.1
4. Giese, R. H. (1963). Attitude determination from specular, and diffuse reflection by cylindrical artificial satellites. SAO Special Report, 127.
5. Robertson R.E. (1979). Twenty-year history of the development of spacecraft attitude control systems. In Rocket technology and astronautics, Moscow, Vol. 17(2), P. 120-128
6. Epishev, V. P. (1983). Determination of the orientation of ASE in space by their mirror reflection. Astrometry and astrophysics of the Academy of Sciences of the Ukrainian SSR, (50), 89-93. [In Russian]
7. Bratiychuk M.V., Guardionov A.B., Epishev V.P. et al. (1986). Photoelectric photometry of the satellite "Intercosmos-Bulgaria 1330". Kinematics and Physics of Celestial Bodies. Vol. 2(1), 60-65. [In Russian]
8. Koshkin, N., Korobeynikova, E., Shakun, L., Strakhova, S., & Tang, Z. H. (2016). Remote sensing of the EnviSat and Cbers-2B satellites rotation around the centre of mass by photometry. Advances in Space Research, 58(3), 358-371.
https://doi.org/10.1016/j.asr.2016.04.024
9. Kudak, V. I., Epishev, V. P., Perig, V. M., & Neybauer, I. F. (2017). Determining the orientation and spin period of TOPEX/Poseidon satellite by a photometric method. Astrophysical Bulletin, 72(3), 340-348.
https://doi.org/10.1134/S1990341317030233
10.Didenko, A.V., & Usoltseva, L.A. (2010). Analysis of ground information on the emergency geostationary satellite DSP F23. Bulletin of the NAS RK. Physics and mathematics series, (4), 81-84. [In Russian]
11.Sukhov, P. P., Karpenko, G. F., Epishev, V. P., & Motrunych, I. I. (2009). Photometrical research of gss «INTELSAT 10-02». Odessa astronomical publications, 22, 55-59.
12.Sukhov, P.P., Epishev, V.P., Sukhov, K.P., Karpenko, G.F., & Motrunich, I.I. (2017). The results of comprehensive studies of the operation of the geosynchronous satellite "SBIRS-GEO-2" in orbit. Space science and technology, 23(1). 63. [In Russian]
https://doi.org/10.15407/knit2017.01.063
13.Yepishev, V. P., Motrunich, I. I., Perig, V. M., Kudak, V. I., Nibauer, I. F., Sukhov, P. P., ... & Myslyvyy, S. O. (2018). Possibilities of national optical means of space observation for control of geostationary orbit in the interests of the Armed Forces of Ukraine. Modern Information echnologies in the Sphere of Security and Defence, 33(3), 61-70. [In Ukrainian]
https://doi.org/10.33099/2311-7249/2018-33-3-61-70
14.Dao, P., Heinrich-Josties, E., & Boroson, T. (2016, September). Automated Algorithms to Identify Geostationary Satellites and Detect Mistagging using Concurrent Spatio-Temporal and Brightness Information. In Proc. Advanced Maui Optical and Space Surveillance Technologies conference.
15.Payne, T. E., Castro, P. J., Moody, J. W., Beecher, E. A., Fisher, M. D., & Acosta, R. I. (2016, September). A Discrimination Analysis of Sloan and Johnson Photometric Systems for Non-Resolved Object Characterization. In AMOS Conference Proceedings.
16.Wetterer, C. J., & Jah, M. (2009). Attitude determination from light curves. Journal of Guidance, Control, and Dynamics, 32(5), 1648-1651.
https://doi.org/10.2514/1.44254
17.Linares, R., Crassidis, J., Jah, M., & Kim, H. (2010, August). Astrometric and photometric data fusion for resident space object orbit, attitude, and shape determination via multiple-model adaptive estimation. In AIAA Guidance, Navigation, and Control Conference (p. 8341).
https://doi.org/10.2514/6.2010-8341
18.Rambauske, W. R., & Gruenzel, R. R. (1965). Distribution of diffuse optical reflection around some stereometric surfaces. Journal of the Optical Society of America, 55(3), 315-318
https://doi.org/10.1364/JOSA.55.000315