On use of averaging in FxLMS algorithm for single-channel feedforward ANC systems

In this paper an active noise control (ANC) algorithm is proposed. This algorithm is based on adaptive filtering with averaging (AFA) and uses a similar structure as that of the FxLMS ANC system. The proposed algorithm, which we call FxAFA algorithm, uses averages of both data and correction terms t...

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Bibliographic Details
Published in2003 IEEE International Symposium on Circuits and Systems (ISCAS) Vol. 4; p. IV
Main Authors Tahir, A.M., Abe, M., Kawamata, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Acoustic noise
Active noise reduction
Adaptive filters
Control systems
Convergence
Finite impulse response filter
IIR filters
Least squares approximation
Loudspeakers
Microphones
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Summary:In this paper an active noise control (ANC) algorithm is proposed. This algorithm is based on adaptive filtering with averaging (AFA) and uses a similar structure as that of the FxLMS ANC system. The proposed algorithm, which we call FxAFA algorithm, uses averages of both data and correction terms to find the updated values of the tap weights of the ANC controller. The computer simulations are conducted for single-channel feedforward ANC systems. It is shown that the proposed algorithm gives fast convergence as compared with the FxLMS algorithm, for both broadband and narrowband noise signals. The comparison with the FxRLS algorithm shows that the proposed FxAFA algorithm is a better choice for low computational complexity and stable performance.
ISBN:9780780377615
0780377613
DOI:10.1109/ISCAS.2003.1205856