Title :
Parameters estimation of a noisy sinusoidal signal with time-varying amplitude
Author :
Liu, Da-yan ; Gibaru, Olivier ; Perruquetti, Wilfrid
Author_Institution :
Univ. de Lille 1, Villeneuve-d´´Ascq, France
Abstract :
In this paper, we give estimators of the frequency, amplitude and phase of a noisy sinusoidal signal with time varying amplitude by using the algebraic parametric techniques introduced by Fliess and Sira-Ramfrez. We apply a similar strategy to estimate these parameters by using modulating functions method. The convergence of the noise error part due to a large class of noises is studied to show the robustness and the stability of these methods. We also show that the estimators obtained by modulating functions method are robust to "large" sampling period and to non zero-mean noises.
Keywords :
algebra; parameter estimation; sampling methods; signal denoising; algebraic parametric techniques; frequency estimators; modulating functions method; noise error; noisy sinusoidal signal; non zero mean noises; parameters estimation; sampling period; stability; time varying amplitude;
Conference_Titel :
Control & Automation (MED), 2011 19th Mediterranean Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4577-0124-5
DOI :
10.1109/MED.2011.5983186