“…In the early 70-ies, it was suggested to improve LST based on accounting for random perturbations [3]. In subsequent works (Nazarenko, 1998(Nazarenko, , 2007(Nazarenko, , 2009(Nazarenko, , 2010(Nazarenko, , 2013(Nazarenko, , 2015Nazarenko et al, 2007) [4][5][6][7][8][9][10][11] this approach was updated and got the name of the method for Optimal Filtration of Measurements. The prominent feature of the developed technique is accounting for statistical characteristics of atmospheric disturbances on a fit span and during the motion prediction.…”