Title :
Global frequency estimation using adaptive identifiers
Author_Institution :
Dept. of Electr., Electron., & Comput. Eng., Pretoria Univ., South Africa
fDate :
7/1/2002 12:00:00 AM
Abstract :
Online estimation of the frequencies of a signal which is the sum of n sinusoidals with unknown amplitudes, frequencies and phases is made through yet another well-known and simple system theoretical tool-adaptive identifiers. Convergence of the proposed estimator is proved. The new frequency estimator is of 3n order, as compared to the order 5n - 1 resulting from Marino-Tomei observers. Results are demonstrated via simulation
Keywords :
adaptive filters; convergence; frequency estimation; observers; parameter estimation; state-space methods; adaptive identifiers; convergence; global frequency estimation; observers; online estimation; sinusoidals; Amplitude estimation; Automatic control; Finite impulse response filter; Frequency estimation; IIR filters; Nonlinear systems; Phase estimation; Predictive models; Signal processing; State estimation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2002.800670
