Skip to main content
Log in

Determination of predicted position of a satellite at limited errors of measurements

  • Published:
Cosmic Research Aims and scope Submit manuscript

Abstract

Non-statistical formulation of the problem of determining the future position of an object in circumterrestrial space orbiting around the Earth is considered at some constraints on measurement errors. Criteria of optimality and the algorithms satisfying these criteria are presented. Computational schemes are given for the most interesting (for practical purposes) central and projective algorithms. Using mathematical simulation methods the precision characteristics of these algorithms are determined at different distributions of measurement errors for typical situations, arising when one supports a catalog of space objects. It is shown that the errors of determining the predicted position of a space object, obtained with the non-statistical approach, can be less than the errors of the least squares method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Khutorovsky, Z.N., Maintaining a Catalog of Space Objects, Kosm. Issled., 1993, vol. 31, no. 4, pp. 101–114. [Cosmic Research, p. 433].

    ADS  Google Scholar 

  2. Khutorovsky, Z., Kuricshah, A., Menshikov, A., et al., The Russian Space Surveillance and Some Aspects of Spaceflight Safety, Adv. Space Res., 1993, vol. 14, no. 8, p. 8.

    Google Scholar 

  3. Khutorovsky, Z.N., Boikov, V.F., and Pylaev, L.N., Control of Space Objects at Low Altitudes, in Okolozemnaya astronomiya (kosmicheskii musor) (Circumterrestrial Astronomy: Space Debris), Moscow: Institut astronomii RAN, 1998, pp. 34–101.

    Google Scholar 

  4. Khutorovsky, Z.N., Boikov, V.F., and Kamensky, S.Yu., Direct Method for the Analysis of Collision Probabilities of Artificial Space Objects in LEO: Techniques, Results, and Application, Proc. of the First European Conference on Space Debris, April 1993, Darmstadt, Germany, pp. 491–508.

  5. Fateev, V., Sukhanov, S., Khutorovsky, Z., et al., Collision Prediction for LEO Satellites. Analysis of Characteristics, Proc. of the 2009 Advanced Maui Optical and Space Surveillance Technologies Conf., 2009, Sept. 1–4, USA, Maui, Hawaii.

  6. Khutorovsky, Z.N., Robust and Adaptive Techniques Used for Maintenance of the Catalog of LEO Satellites, Proc. of the Fifth US/Russian Space Surveillance Workshop, 2003, Sept. 24–27, St.-Petersburg.

  7. Russia’s Arms Catalog, Air Defense, 1997, vol. 5, Military Parade Ltd, p. 552, ISBN5-7734-0002-2.

    Google Scholar 

  8. Lidov, M.L., A Priori Estimates of Accuracy of Determining Parameters according to the Least Squares Method, Kosm. Issled., 1962, vol. 2, no. 5, pp. 713–717.

    Google Scholar 

  9. El’yasberg, P.E. and Bakhshiyan, B.Ts., Determination of Flight Trajectory for a Spacecraft with Unknown Law of Measurement Errors Distribution, Kosm. Issled., 1969, vol. 7, no. 1, pp. 18–27. [Cosmic Research, p. 12].

    ADS  Google Scholar 

  10. Shekhovtsev, A.I., A Method of Processing Measurements when Information about Their Error Distribution Law is Limited, in Opredelenie dvizheniya kosmicheskikh apparatov (Determination of Spacecraft Motion), Moscow: Nauka, 1975, p. 131.

    Google Scholar 

  11. Kotov, E.O., Problem of Determining Satellite Orbit at Limited Measurement Errors, Kosm. Issled., 1981, vol. 19, no. 4, pp. 513–517.

    ADS  Google Scholar 

  12. Traub, J.F. and Wozniakowsky, H., A General Theory of Optimal Algorithms, New York: Academic Press, 1980.

    MATH  Google Scholar 

  13. Milanese, M. and Tempo, R., Optimal Algorithms Theory for Robust Estimation and Prediction, IEEE Trans. on Autom. Cont., 1985, vol. AC-30, no. 8, pp. 730–738.

    Article  MathSciNet  Google Scholar 

  14. Kacewicz, B.Z., Milanese, M., Tempo, R., and Vicino, A., Optimality of Central and Projection Algorithms for Bounded Uncertainty, Syst. Contr. Lett., 1986, vol. 8, pp. 161–171.

    Article  MathSciNet  MATH  Google Scholar 

  15. Milanese, M., Tempo, R., and Vicino, A., Strongly Optimal Algorithms and Optimal Information in Estimation Problems, J. Complexity, 1986, pp. 78–94.

  16. Tempo, R. and Wasilkowski, G.W., Maximum Likelihood Estimators and Worst Case Optimal Algorithms for System Identification, Syst. Contr. Lett., 1988, vol. 10, pp. 265–270.

    Article  MathSciNet  MATH  Google Scholar 

  17. Cramer, H., Methods of Mathematical Statistics, New York: Princeton University Press, 1946.

    MATH  Google Scholar 

  18. Grenander, U. and Rosenblatt, M., Statistical Analysis of Stationary Time Series, Uppsala, 1956.

  19. Poljak, B.T. and Tsypkin, J.Z., Robust Identification, Automatica, 1980, no. 16, pp. 53–63.

  20. Lemoine, F.G., et al., The Development of the Joint NASA GSFC and NIMA Geopotential Model EGM-96, NASA Goddard Space Flight Center, NASA/TP-1998-206861, July 1998.

  21. Yudin, D.B. and Gol’shtein, E.G., Lineinoe programmirovanie (Linear Programming), Moscow: Fizmatgiz, 1963.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Original Russian Text © A.S. Samotokhin, Z.N. Khutorovsky, 2011, published in Kosmicheskie Issledovaniya, 2011, Vol. 49, No. 6, pp. 526–537.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Samotokhin, A.S., Khutorovsky, Z.N. Determination of predicted position of a satellite at limited errors of measurements. Cosmic Res 49, 510–520 (2011). https://doi.org/10.1134/S0010952511060104

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0010952511060104

Keywords

Navigation