Predicting the Parameters of the Orientation of the Earth in Problems of Navigation Taking into Account the Phenomenon of the Development of Irregularity in the Earth’s Rotation

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This article discusses the application of a previously proposed [1] methodology for predicting the Earth’s orientation parameters (EOPs) that provides high accuracy as a result of optimizing a special procedure of processing historical data using the least-mean-squares method. The results of investigating the accuracy characteristics of the obtained EOP estimations are presented in relation with a predictive task in the interval from 2019 to 2022, when, for the first time in the history of observing the Earth’s daily rotation, a change was recorded in the difference trend between Universal Time and Coordinated Universal Time was recorded, caused by the length of day decreasing. The influence of the length of the day trend changing and related problems on the accuracy of EOP prediction in various navigation tasks using classical polynomials describing EOP evolution is discussed. A comparative analysis of the EOP prediction made by the International Earth Rotation and Reference Systems Service for a similar time period is carried out.

作者简介

M. Krasilshchikov

National Research University “Moscow Aviation Institute”, 125080, Moscow, Russia

Email: kruzhkovd@mail.ru
Россия, Москва

D. Kruzhkov

National Research University “Moscow Aviation Institute”, 125080, Moscow, Russia

Email: kruzhkovd@mail.ru
Россия, Москва

E. Martynov

National Research University “Moscow Aviation Institute”, 125080, Moscow, Russia

编辑信件的主要联系方式.
Email: kruzhkovd@mail.ru
Россия, Москва

参考

  1. Kozorez D.A., Kruzhkov D.M., Kuznetsov K.V., Martynov E.A. Predicting the Earth orientation parameters by the least square method // Russian Engineering Research. 2020. V. 40. Iss. 12. C. 1124–1127.
  2. Kosek W. Future Improvements in EOP Prediction // Geodesy for Planet Earth. International Association of Geodesy Symposia. 2012. V. 136. P. 513–520. https://doi.org/10.1007/978-3-642-20338-1_62
  3. Тиссен В.М., Толстиков А.С., Симонова Г.В. Прогнозирование параметров вращения Земли с помощью адаптивных гармонических моделей // Вестник Сибирского государственного университета геосистем и технологий. 2020. Т. 25. № 4. С. 238–245.
  4. Yang Y., Nie W., Xu T. et al. Earth orientation parameters prediction based on the hybrid SSA + LS + SVM model // Measurement Science and Technology. 2022. V. 33. Iss. 12.
  5. Xu X., Zhou Y. EOP prediction using least square fitting and autoregressive filter over optimized data intervals // Advances in Space Research. 2015. V. 56. Iss. 10.
  6. Толстиков А.С., Тиссен В.М. Параметры вращения Земли в задачах эфемеридно–временного обеспечения ГЛОНАСС и результаты, достигнутые в их прогнозировании // Мир измерений. 2012. № 6. С. 43–49.
  7. Kozorez D.A., Krasil’shchikov M.N., Kruzhkov D.M. The Earth orientation parameters inaccuracy and spacecraft motion prediction errors. 2. GPS // Russian Engineering Research. 2020. V. 40. Iss. 12. P. 1132–1134.
  8. Grechkoseev A.K., Krasil’shchikov M.N., Kruzhkov D.M., Mararescul T.A. Refining the Earth Orientation Parameters Onboard Spacecraft Concept and Information Technologies // Journal of Computer and Systems Sciences International. 2020. V. 59. Iss. 4. P. 598–608.
  9. Krasil’shchikov M.N., Kruzhkov D.M. On the Issue of autonomous refining of the Earth orientation parameters onboard spacecraft. Analysis of the possibilities of developed information technology // Cosmic Research. 2021. V. 59. Iss. 5. P. 357–365.

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版权所有 © М.Н. Красильщиков, Д.М. Кружков, Е.А. Мартынов, 2023