Oleksandr Kozhukhov, National Space Facilities Control and Test Center of State Space Agency of Ukraine; Oleksandr Kalvatynskyi, National Space Facilities Control and Test Center of State Space Agency of Ukraine; Dmytro Kozhukhov, National Space Facilities Control and Test Center of State Space Agency of Ukraine; Viktor Mamarev, National Space Facilities Control and Test Center of State Space Agency of Ukraine; Ozeryan Andriy, National Space Facilities Control and Test Center of State Space Agency of Ukraine; Igor Brukhno, National Space Facilities Control and Test Center of State Space Agency of Ukraine; Leonid Shakun, Astronomical Observatory of Odessa I.I.Mechnikov National University; Andriy Zavada, Korolyov Zhytomyr Military Institute
Keywords: space situational awareness, radio frequency monitoring, SO orbit determination and improvement
Abstract:
The increase in the number of artificial space objects (SO) in near-Earth space leads to an increase in the number of sensors required to perform the tasks of space situational awareness (SSA). At the same time the number of not only «classical» radar and optoelectronic sensors is increasing, but also other types of sensors.
Recently, interest in passive radio frequency sensors for SO monitoring in different bands has in-creased significantly. One of the advantages of this approach is the ability to use existing stations to create them.
We propose the use of ground stations for receiving information from Earth Remote Sensing (ERS) satellites in X-band as additional sensors for obtaining the trajectory measurements of SO in order to increase the performance of space situational awareness tasks.
An algorithm for ERS satellites orbit improvement was developed. It is based on the information from X-band reception stations using the search method of minimization of the objective function, and is formed on the LS methods basis. It allows to expand the region of convergence for the boundary value problem by reducing the requirements for the accuracy of the orbits initial approxi-mations and the amount of accumulated trajectory measurements.
The unbiasedness of the developed algorithm was tested on the basis of simulated trajectory measurements, preliminary researches were carried out using real trajectory measurements.
Date of Conference: September 14-17, 2021
Track: Astrodynamics