The satellite communication plays an important role in the control of outer space. It serves both the remote control of satellites or the satellite system and the transmission of information from satellites to Earth. The information transmitted includes both information describing the internal state of the satellite systems and information from the objects monitored by the satellites. The last one plays important role in satellite control and it will be mainly considered in this article. Usually, only a very small number of satellites move in geostationary orbits (i.e. they are located above the same point above the earth's surface. This means that most of the satellites must adapt their antennas to the Earth's receiving devices. The change in the position of the satellites in relation to the Earth communication stations with the satellites is associated with a significant change in the parameters of the channel and results often in a loss of transmitted information.This article proposes a method for lost data restoration. It is based on the hypothesis for correlation between previously sent data with the lost ones, valid for the transmitted information about internal state of satellite subsystems. An efficient algorithm is suggested for detection of the closest up to scale data segment in successfully sent data with the data segment, surrounding lost data. Algorithm demonstration and validation are presented over data from AIST small satellites. For accuracy check of the structured paper, user can run the option