DocumentCode :
2851934
Title :
A direct adaptive method for discriminating sinusoidal components with nearby frequencies
Author :
Pin, G. ; Parisini, T.
Author_Institution :
Danieli Autom. S.p.A, Udine, Italy
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
2994
Lastpage :
2999
Abstract :
This paper deals with the on-line simultaneous estimation of frequencies, amplitudes, and phases of a pair of sinusoidal signals with values of the frequencies that are close to each other. The proposed nonlinear parametric identification method is based on the interconnection of two quadrature-based adaptive filters, originally conceived for the extraction of a single sinusoidal signal. The distinctive feature of quadrature based filters, inherited by the method under consideration, consists in performing the adaptation in a parametric space having higher dimensions than the number of unknowns. The stability analysis, based on two-time scale averaging arguments, shows the existence of multiple asymptotically stable manifolds corresponding to the simultaneous detection of the two sinusoidal signals.
Keywords :
adaptive estimation; adaptive filters; adaptive signal detection; amplitude estimation; asymptotic stability; feature extraction; frequency estimation; phase estimation; amplitude estimation; asymptotic stable manifolds; direct adaptive method; feature extraction; frequency estimation; interconnection; nonlinear parametric identification method; phase estimation; quadrature based adaptive filters; scale averaging arguments; sinusoidal components; sinusoidal signal detection; stability analysis; Convergence; Decorrelation; Frequency estimation; Manifolds; Stability analysis; Time frequency analysis; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
ISSN :
0743-1619
Print_ISBN :
978-1-4577-0080-4
Type :
conf
DOI :
10.1109/ACC.2011.5991090
Filename :
5991090
Link To Document :
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