ALGORITHM FOR PREDICTION OF SPACE OBJECT MOTION AND ITS VARIATIONS USING LAGRANGE ELEMENTS

Timely detection of changes in the characteristics of space hardware objects during their long-term operation is one of the main tasks in the development and study of onboard systems that maintain the efficiency of their operation. This paper presents a statistical method for simulating the motion of space objects (spacecraft and used launch vehicle stages) in the class of autoregressive models. The method allows one to improve the quality of description and prediction of the motion of space objects based on simulating time series of their TLE-elements (two-line orbital element sets). The purpose of this work is to increase the accuracy of mathematical models of the observed motion of space objects in the problems of deorbit time determination, satellite collision prediction, and space debris cataloging. The paper presents a system for simulating the motion of space objects, which allows one to determine an optimal amount of learning samples in simulating time series of TLE elements, determine the order of autoregression and find an optimal model structure for each variable element, identify model parameters in conditions of unequally spaced observations, identify features of the time behavior of the root-mean-square errors of the constructed autoregressive models on the basis of dividing the initial time series of TLE-elements into successive learning intervals, and obtain predictive estimates of the values of variable elements. The proposed statistical method of space object motion simulation can be recommended to describe and predict the motion of spacecraft and used launch vehicle stages represented as time series of TLE-elements (which are publicly available and regularly updated). The application of the proposed statistical method will increase the accuracy of mathematical models of the observed motion of space objects in the problems of deorbit time determination, satellite collision prediction, and space debris cataloging.

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Methods of validation of the ballistic structure of space surveillance system orbital segment

VESTNIK of the Samara State Aerospace University ◽

10.18287/2541-7533-2019-18-3-155-165 ◽

2019 ◽

Vol 18 (3) ◽

pp. 155-165

Author(s):

I. A. Fadin ◽

S. V. Yanov ◽

O. A. Samokhvalov

Keyword(s):

Surveillance System ◽

Space Debris ◽

Target Function ◽

Object Motion ◽

Space Object ◽

Scientific Methods ◽

Optimization Task ◽

Space Objects ◽

The Russian Federation ◽

Orbital Constellation

Space activity brought about the space debris problem that constitutes a threat to active spacecraft. Nowadays the most efficient way of spacecraft protection against space debris is choosing the appropriate orbit parameters to prevent collisions of space objects. To do this one should know the parameters of motion of space objects (SO). At present the task of determining SO orbit parameters is solved be means of the space surveillance system (SSS). The Russian space surveillance system includes only ground based facilities located on the territory of the Russian Federation and Tajikistan. This fact does not allow determining the parameters of SO motion over the Western and Southern Hemispheres. The task of monitoring SO in low orbits (up to 2000 km height) is of particular importance because there have already been collisions that generated a lot of debris which, in their turn, pose a new threat to Russian active spacecraft. To prevent prospective threats to the Russian orbital constellation associated with possible generation of new debris as a result of impacts or spontaneous separation (because of an explosion, for instance) of active SOs the parameters of motion of newly emerging space objects need to be determined quickly and efficiently. We propose to solve the task of online monitoring of space object motion by creating an orbital segment of SSS. The creation of the new system is to be preceded by the development of scientific methods for justification of its ballistic structure. This article presents a method based on the solution of an optimization task, where the target function is the dependence of the required number of measurer spacecraft on the quality indicators of space surveillance.

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Investigation of the Influence of the Light Pressure on the Stability of Near-Earth Space Object Motion

Russian Physics Journal ◽

10.1007/s11182-019-01685-0 ◽

2019 ◽

Vol 62 (1) ◽

pp. 75-81

Author(s):

A. G. Aleksandrova ◽

T. V. Bordovitsyna

Keyword(s):

Object Motion ◽

Space Object ◽

Light Pressure ◽

Earth Space ◽

Near Earth Space ◽

The Stability

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Space Object Detection in Video Satellite Images Using Motion Information

International Journal of Aerospace Engineering ◽

10.1155/2017/1024529 ◽

2017 ◽

Vol 2017 ◽

pp. 1-9 ◽

Cited By ~ 4

Author(s):

Xueyang Zhang ◽

Junhua Xiang ◽

Yulin Zhang

Keyword(s):

Object Detection ◽

Satellite Image ◽

Detection Algorithm ◽

Object Motion ◽

Attitude Motion ◽

Motion Information ◽

Space Object ◽

Satellite Attitude ◽

Space Objects ◽

Previous Frame

Compared to ground-based observation, space-based observation is an effective approach to catalog and monitor increasing space objects. In this paper, space object detection in a video satellite image with star image background is studied. A new detection algorithm using motion information is proposed, which includes not only the known satellite attitude motion information but also the unknown object motion information. The effect of satellite attitude motion on an image is analyzed quantitatively, which can be decomposed into translation and rotation. Considering the continuity of object motion and brightness change, variable thresholding based on local image properties and detection of the previous frame is used to segment a single-frame image. Then, the algorithm uses the correlation of object motion in multiframe and satellite attitude motion information to detect the object. Experimental results with a video image from the Tiantuo-2 satellite show that this algorithm provides a good way for space object detection.

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