FxLMS/F based tap decomposed adaptive filter for decentralized active noise control system

Abstract

Decentralized systems are appealing due to their reduced complexity and flexibility. A class of decentralized multi-channel active noise control (MCANC) systems has been developed in this paper. In the first part of the study, a modified filtered-x least mean square/fourth (FxLMS/F) algorithm, which offers improved noise reduction performance over the conventional FxLMS/F algorithm, was developed for MCANC. Further, to reduce the computational complexity of the proposed MCANC system, a nearest Kronecker product (NKP) decomposition strategy has been incorporated to develop decentralized versions of FxLMS/F algorithms. The proposed algorithms have been shown to offer enhanced noise reduction at reduced computational complexity when applied for noise control for narrowband noise, bandlimited white noise, traffic noise and wind noise.