PARAMETERS ESTIMATION OF SINUSOIDAL SIGNAL WITH POWER-LAW FREQUENCY DEPENDENCE
Annotation
The problem of estimating parameters of sinusoidal signal whose frequency varying as a polynomial function in time is considered. To solve this problem, a parameterization is proposed that allows formation of linear regression equations with respect to unknown parameters. The desired estimates are obtained using the method of dynamic expansion of the regressor, which ensures the monotony of transient processes. Efficiency of the proposed approach is illustrated by presented results of numerical modeling.
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