Title :
A convergent frequency estimator
Author :
Annaswamy, A.M. ; Ho, N. ; Cao, C. ; Kojic, A.
Author_Institution :
Dept. of Mech. Eng., MIT, Cambridge, MA, USA
Abstract :
Online identification of sinusoidal components is an important problem that occurs in active noise control, vibration suppression, online health monitoring, and radar, sonar, and seismic applications. We adopt an approach to this identification problem which consists of the utilization of the underlying nonlinearity and an algorithm that is based on the nonlinear parameterization. The algorithm is shown to result in global convergence in the presence of two unknown frequencies. Extensions to n unknown frequencies for n⩾2 that have unknown amplitudes are also discussed
Keywords :
active noise control; condition monitoring; convergence; frequency estimation; noise; signal processing; vibration control; convergent frequency estimator; global convergence; nonlinear parameterization; online identification; sinusoidal components; unknown frequencies; Active noise reduction; Condition monitoring; Convergence; Frequency estimation; Mechanical engineering; Radar applications; Signal processing; Sonar applications; Transforms; Vibration control;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.878577
