METHODS TO IMPROVE THE ACCURACY OF POSITIONING OBJECTS BY MEANS OF SATELLITE NAVIGATION

Abstract

The analysis of the processing navigation data in the tracking systems of moving objects, namely the method which increases the accuracy of measurement of coordinates, the algorithm of the Kalman filter. To a large extent this applies to various moving objects-the movement of air, sea, river, automobile and railway transport, as well as the use of modern satellite navigation systems in related fields, such as geodesy and cartography, land management, monitoring of the earth's surface. The algorithm of the Kalman filtering sequential recursive algorithm using the adopted model of the dynamic system to estimate, which may be significantly adjusted as a result of the analysis of each new sample measurements in time order. It is a recurring method that you can carry on the algorithm to the method of substitution. The algorithm of Kalman filter is used in the management of many complex dynamic systems, as this mathematical apparatus, which allows to smooth the data on the fly, not accumulating them for analysis. When controlling a dynamic system, it is first necessary to completely know the phase state at each point in time, but to measure all the variables that you want to manage is not always possible and in these cases the Kalman filter is a tool that allows you to restore missing information with the available inexact (noisy) measurements.