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A Recursive Parameter Estimation Algorithm for Modeling Signals with Multi-frequencies
Ist Teil von
Circuits, systems, and signal processing, 2020-08, Vol.39 (8), p.4198-4224
Ort / Verlag
New York: Springer US
Erscheinungsjahr
2020
Link zum Volltext
Quelle
SpringerLink (Online service)
Beschreibungen/Notizen
In this paper, we focus on the modeling problem of the multi-frequency signals which contain many different frequency components. Based on the Newton search and the measured data, a Newton recursive parameter estimation algorithm is developed to estimate the amplitude, the angular frequency and the phase of a multi-frequency signal. In order to improve the performance of the identification algorithm, a convergence factor is introduced in the Hessian matrix of the developed Newton recursive method. The numerical examples verify that the proposed algorithm is effective for modeling the multi-frequency sine signals.