Formation of the scale of time of devices of frequency-time supporting by a method of structural analysis
Authors: Petrov S.D., Chekunov I.V., Usachev V.A., Toporkov A.G., Koryanov V.V.
Published in issue: #8(92)/2019
DOI: 10.18698/2308-6033-2019-8-1901
Category: Aviation and Rocket-Space Engineering | Chapter: Ground Complexes, Launch Equipment, Aircraft Exploitation
The relevance of reliable high-precision navigation is confirmed by the organizational structure of the satellite radio navigation system (SRNS) GLONASS, in which there are no regular structures of electronic protection, in contrast to the American SRNS GPS, provided with standard systems “Select available” and “Antispoofing”.
Under these conditions, it is necessary to constantly verify the reliability of the SRNS sync signals for the consumer, which is possible only with the formation of its own high-precision time scale. Own time scale provides verification of the reliability of navigation signals, “hot start” of the navigation equipment of the consumer, reducing the integration limits of time periods when solving the navigation task. Compensating for the error of low-frequency flicker noise by optimal filtering is a complex problem due to nonstationary. For the organization of optimal filtering, it is necessary to determine the correlation function and estimate the filtering by dispersion, which is unattainable for non-stationary processes. This problem is solved in this paper by applying the Kolmogorov theory to form a time scale using the mathematical apparatus of structural analysis.
References
[1] Wang B., Lou Y., Liu J., Zhao Q. Analysis of BDS satellite clocks in orbit. GPS Solutions, 2017, vol. 20, no. 4, pp. 783–794. Springer. DOI: 10.1007/s10291-015-0488-7
[2] Shi Ch., Guo Sh., Gu Sh., Yang X., Gong X., Deng Zh., Ge M., Schul H. Multi-GNSS satellite clock estimation constrained with oscillator noise model in existence of data discontinuity. J. of Geodesy, 2019, vol. 93, no. 4, pp. 515–528. Research Gate. DOI: 10.1007/s00190-018-1178-3
[3] Makarenko B.I. Kvartsevyye i kvantovyye mery chastoty [Quartz and quantum frequency measures]. Moscow, USSR Ministry of Defense Publ., 1976, 413 p.
[4] Bogdanov P.P., Druzhin V.E., Nechaeva O.E., Tyulyakov A.E. Sovershenstvovaniye chastotno-vremennogo obespecheniya GLONASS. Science Research, 2013, no. 3–4, pp. 12–16.
[5] Kuzin S.P., Tatevyan S.K. Vklad sistemy DORIS v postroyeniye obshchezemnoy sistemy koordinat (ITRF2013). Geodesy and cartography, 2015, no. 6, pp. 2–9.
[6] Matviyenko L.I. Soobshcheniya instituta prikladnoy astronomii rossiyskoy akademii nauk — Reports of the Institute of Applied Astronomy RAS, 2007, no. 176, pp. 1–35.
[7] Petrov S.D., Chekunov I.V. Sozdaniye malogabaritnykh bortovykh pretsizionnykh apparatno-programmnykh khraniteley vremeni i chastoty (BKHVCH) na osnove strukturnogo analiza [Creation of compact on-board precision hardware-software time and frequency keepers (BHHW) based on structural analysis]. XLI Akademicheskie chteniya po kosmonavtike, posvyashchennye pamyati akademika S.P. Koroleva i drugikh vydayushchikhsya otechestvennykh uchenykh pionerov osvoeniya kosmicheskogo prostranstva: sbornik tezisov [Proc. of the 41th Academic Readings on Cosmonautics devoted to the memory of S.P. Korolev, Academician, and other distinguished Russian scientists, space exploration pioneers]. Moscow, January 24–27, 2017. Moscow, BMSTU Publ., pp. 290, 291.
[8] Stepanov A.V. Elektricheskiye shumy [Electrical noise]. Moscow, Lomonosov Moscow State University Publ., 2003, 27 p.
[9] Belyaev A.A., Sakharov B.A., Kozlov A.K., Yakimov A.V. Fluktuatsii chastoty vodorodnogo standarta [Fluctuations in the frequency of the hydrogen standard]. Trudy 1-go rabochego soveshchaniya po proyektu NATO SfP-973799 Semiconductors "Razrabotka radiatsionno-stoykikh poluprovodnikovykh priborov dlya sistem svyazi i pretsizionnykh izmereniy s ispol
[10] Podlazov A.V. The theory of self-organized criticality is the science of complexity. Available at: https://mipt.ru/students/organization/mezhpr/arxiv/mezhpred2/podlazov.pdf (accessed May 24, 2019).
[11] Borisov B.D. Models of power spectral density of Flicker noise. Available at: http://jurnal.nips.ru/sites/default/files/АИПИ-2-2015-8.pdf (accessed May 24, 2019).
[12] Petrov S.D., Smirnov S.S., Chekunov I.V., Hegay D.K. Kompaktnyy gruppovoy avtonomnyy standart vremeni i chastoty (Proceedings of the Institute of Applied Astronomy RAS), 2016, no. 37, pp. 93–96.