Title :
On use of averaging in FxLMS algorithm for single-channel feedforward ANC systems
Author :
Tahir, Akhtar M. ; Abe, Masahide ; Kawamata, Masayuki
Author_Institution :
Dept. of Electron. Eng., Tohoku Univ., Sendai, Japan
Abstract :
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.
Keywords :
acoustic signal processing; active noise control; adaptive filters; computational complexity; convergence; error correction; feedforward; least mean squares methods; AFA; ANC controller tap weights; FxLMS ANC system; FxLMS algorithm; FxRLS algorithm comparison; active noise control algorithm; adaptive filtering with averaging; algorithm convergence; averaging; broadband noise signals; computational complexity; computer simulations; correction terms; data terms; narrowband noise signals; single-channel feedforward ANC systems; stable performance; Acoustic noise; Active noise reduction; Adaptive filters; Control systems; Convergence; Finite impulse response filter; IIR filters; Least squares approximation; Loudspeakers; Microphones;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1205856
