UDC 004.032.2
REGRESSION ANALYSIS METHODS IN TRAJECTORY INFORMATION PROCESSING FOR ROCKET AND SPACE TECHNOLOGY PRODUCTS
А. А. Bogdanov, programmer engineer, JSC «SRC «Progress» – department of special design bureau «Spectrum», Ryazan, Russia;
orcid.org/0000-0003-3806-5320, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
S. V. Spitsyn, post-graduate student, RSREU, design engineer, JSC «SRC «Progress» – department of special design bureau «Spectrum», Ryazan, Russia;
orcid.org/0000-0001-6468-5043, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
S. A. Tikhomirov, assistant professor of RSREU, senior specialist, JSC «SRC «Progress» – department of special design bureau «Spectrum», Ryazan, Russia;
orcid.org/0000-0002-3174-1536, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The paper considers the algorithm for coordinate calculation of rocket separating parts drop points during field tests (launches) of rockets and space technology products in order to form «hit or miss» signs. The proposed algorithm has stages of implementation of regression analysis methods. The aim is to find a unified method for ballistic trajectory calculating for detachable parts of the rocket that meets both the requirements of post-flight information processing and data analysis, and the requirements of analysis and data processing directly during launch in real time. For these purposes, it is proposed to introduce the stages of forecasting (prediction stages) of calculated values into the proposed calculation methodology based on regression analysis methods with selection and construction of an optimal statistical model. As such, a one-dimensional linear regression model is proposed. It allows establishing the relationship of one quantitative dependent variable with several independent predictors.
Key words: information and measurement support of launches, systems of measurement information gathering, onboard navigation consumer equipment, telemetry information, linear regression.