Abstract: This study presents a qualitative evaluation of a communication satellite driven by a white noise sequence and proposes a finite-time filtering solution in which state estimation was addressed. The dynamics of the satellite assumed linear and reducible to an equivalent interconnection of subsystems enabled state estimation by least squares computational algorithms to be obtained by convergence of the iteration process. The significant practical benefits of using the stationary form of the Kalman filter in the computation were established.