The adaptation modelling of a GPS signal by means of neural networks

Geodetic monitoring carried out in a number of cases in order to determine the dynamics of a particular phenomenon requires, apart from suitable measurement instruments, also suitable methods of processing the results of experimental data. While formulating a particular technical problem in the form of an objective function it is possible to obtain its solution by applying an optimising neural network. One of the possible uses of this kind of network is its application in adaptation modeling. The article presents two aspects of modeling: interfering noise elimination and identifying an object in the form of measurement results of dynamic GPS signals (Szpunar et al., 2003) carried out in real time. A computer simulation of the problem has been implemented by the author himself.