Weight function based on Kalman filter for selection of component signals

Abstract

The possibility of determining the constituent signals, for example, obtained by measuring the parameters of dynamic systems is being studied. An analytical description of the method using adaptive Kalman filtering is given. The method allows to obtain a weighting function for each specific signal. A workable model is proposed, the results obtained during the simulation are reflected.