A hybrid noise canceling structure with secondary path estimation

Authors:
Andres Romero;Mariko Nakano-Miyatake;Hector Perez-Meana
Affiliations:
Mechanical and Electrical Engineering School, National Polytechnic Institute, Mexico D.F., Mexico;Mechanical and Electrical Engineering School, National Polytechnic Institute, Mexico D.F., Mexico;Mechanical and Electrical Engineering School, National Polytechnic Institute, Mexico D.F., Mexico
Venue:
ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
Year:
2008

Citing 2
Cited 2

Adaptive signal processing

Adaptive signal processing
Active Noise Control Systems: Algorithms and DSP Implementations

Active Noise Control Systems: Algorithms and DSP Implementations

A hybrid noise cancelling algorithm with secondary path estimation

WSEAS Transactions on Signal Processing
An active noise cancelling algorithm with secondary path modeling

ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers

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Abstract

This paper proposes a hybrid active noise canceling (ANC) system to reduce the distortion produced by the acoustic feedback present in most feed-forward ANC systems. Proposed ANC system provides a solution of two important problems present in ANC systems the acoustic feedback and the secondary path estimation. The acoustic feedback is reduced by using two adaptive ANC, one with a feed-forward and the other one feedback configuration, respectively. For secondary path modeling modification of the on line methods proposed by Bao, Erickson and Zhang are used. Computer simulation results show that the combination of the Feedback and Feed-forward stages provides a fairly good acoustic feedback cancellation, while the secondary path estimation method performs fairly well, specially using the Zhang method, providing a fairly good noise cancellation performance.