DocumentCode
394709
Title
Convergence analysis of multichannel ANC system using FXLMS algorithm with inexact secondary path model
Author
Yeung, Tuk Keung ; Yau, Sze Fong
Author_Institution
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., China
Volume
5
fYear
2003
fDate
6-10 April 2003
Abstract
The paper conducts the convergence analysis of multichannel an active noise control (ANC) system using a filtered-X least-mean-square (FXLMS) algorithm with inexact secondary path modeling. An update equation of the excess mean-square error (MSE) is developed first. A criterion on secondary path modeling for the convergence of the excess MSE is then derived, which reveals that the convergence rate can be enhanced by choosing the secondary path models appropriately. Next, an upper bound on the step size of the update equation is derived. Furthermore, the steady-state excess MSE is expressed explicitly for a thorough insight into the steady-state response of the system. Computer simulations verify that our theoretical analysis can predict accurately the performance of a feedforward multichannel ANC system with inexact secondary path modeling.
Keywords
acoustic noise; acoustic signal processing; active noise control; convergence of numerical methods; feedforward; least mean squares methods; transfer functions; convergence rate; feedforward system; filtered-X LMS algorithm; filtered-X least-mean-square algorithm; multichannel ANC system; secondary path modeling; steady-state excess MSE; steady-state excess mean-square error; transfer functions; update equation; Active noise reduction; Algorithm design and analysis; Computer simulation; Control system synthesis; Convergence; Equations; Performance analysis; Predictive models; Steady-state; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1200035
Filename
1200035
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