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 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.

• Type: Conference
• Year: 2003
• Where: ISCAS
• Authors: Muhammad Tahir Akhtar, Masahide Abe, Masayuki Kawamata
• Keywords: Algorithm, Anc Systems, FxAFA Algorithm, ISCAS 2003