Abstract
The task of revealing changes in the non-functioning Sich-2 spacecraft motion is completed using autoregressive models and time series of TLE elements. The developed method is recomended to use for revealing changes in the movement of space objects during their long-term operation.
Highlights
Detection of changes in the characteristics of space objects during their long-term operation is one of the main tasks in the development and study of on-board systems to support the efficiency of their functioning
To detect changes in the characteristics of the functioning of dynamic systems based on the results of their observation, a method of statistical classification based on modeling in the class of autoregressive equations [1] - [2] has been developed
Since the modeling problems in the class of autoregressive models are posed under conditions of structural uncertainty, the results of [3] - [4] obtained within the framework of the method of group consideration of arguments are used to solve them
Summary
The task of revealing changes in the non-functioning Sich-2 spacecraft motion is completed using autoregressive models and time series of TLE elements. The developed method is recomended to use for revealing changes in the movement of space objects during their long-term operation.
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