A study of stochastic properties of the mid-altitude region of motion of global navigation system satellites

The study of the stochastic properties of the mid-altitude region of motion of global navigation system satellites at low and moderate area-to-mass ratios (0.001, 0.01, and 0.1 m2 /kg) is performed based on the numerical simulation results. The behavior of the integrated autocorrelation functions for the semi-major axis and Kholshevnikov metric is considered. The Kholshevnikov metric is specified in the three-dimensional factor space of the positional orbit elements. The initial orbits are assumed to be close to circular orbits with an eccentricity of 0.0001. The initial inclination is chosen according to the semi-major axis of the orbit: 64.8° near the GLONASS system, 55° near the GPS and BeiDou systems, and 56° near the Galileo system. The initial longitude of the ascending node is varied with a 90° step. The dependence of the integrated autocorrelation function on the initial semi-major axis of object's orbit is analyzed. The occurrence of stochastic evolution grows with an increase in the initial inclination and semi-major axis of the orbit due to luni-solar perturbations. The attributes of stochastic behavior are revealed even at small area-to-mass ratios corresponding to the satellites. It can be concluded that the estimates of the integrated autocorrelation function significantly depend on the initial orientation of the orbit plane with respect to the direction to the Sun. This should be considered when selecting orbits for the disposal of deactivated satellites of global navigation systems.

Authors

Publication Details

Journal
Vestnik Tomskogo gosudarstvennogo universiteta Matematika i mekhanika
Published
2025-01-01
DOI
https://doi.org/10.17223/19988621/93/10
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A study of stochastic properties of the mid-altitude region of motion of global navigation system satellites

Э. Д. Кузнецов, Ekaterina S. Smagina, Ivan S. Zhmakin, Tavriz R. Urazaev
Vestnik Tomskogo gosudarstvennogo universiteta Matematika i mekhanika
Inertial Sensor and Navigation
article

A study of stochastic properties of the mid-altitude region of motion of global navigation system satellites

Э. Д. Кузнецов, Ekaterina S. Smagina, Ivan S. Zhmakin, Tavriz R. Urazaev
article en

Abstract

The study of the stochastic properties of the mid-altitude region of motion of global navigation system satellites at low and moderate area-to-mass ratios (0.001, 0.01, and 0.1 m2 /kg) is performed based on the numerical simulation results. The behavior of the integrated autocorrelation functions for the semi-major axis and Kholshevnikov metric is considered. The Kholshevnikov metric is specified in the three-dimensional factor space of the positional orbit elements. The initial orbits are assumed to be close to circular orbits with an eccentricity of 0.0001. The initial inclination is chosen according to the semi-major axis of the orbit: 64.8° near the GLONASS system, 55° near the GPS and BeiDou systems, and 56° near the Galileo system. The initial longitude of the ascending node is varied with a 90° step. The dependence of the integrated autocorrelation function on the initial semi-major axis of object's orbit is analyzed. The occurrence of stochastic evolution grows with an increase in the initial inclination and semi-major axis of the orbit due to luni-solar perturbations. The attributes of stochastic behavior are revealed even at small area-to-mass ratios corresponding to the satellites. It can be concluded that the estimates of the integrated autocorrelation function significantly depend on the initial orientation of the orbit plane with respect to the direction to the Sun. This should be considered when selecting orbits for the disposal of deactivated satellites of global navigation systems.

Vestnik Tomskogo gosudarstvennogo universiteta Matematika i mekhanika(93)
Openalex Percentile: Top 86%
Inertial Sensor and Navigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.