The present paper deals with simulation oftracking algorithms. Two target models are considered. All models are based on state equations using Newton matrices in the presence of Gaussian white noise. Simulated algorithm is compared with the Kalman filter. Better accuracy of simulated estimation filter is shown.
The paper deals with measurements data processing of a flame photometer output. Due to a large time-constant and presence of signal linear drift a digital adaptive filter has been proposed. The objective of the paper is to develop a filtering algorithm which makes it possible to increase the signal to noise ratio (SNR) without any additional signal delay. Obtained results are compared with previously used such as the transversal filter with uniform taps. The simulation results reveal better accuracy of the adaptive filter in comparison with the transversal filter.
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