A novel feedback active noise control for broadband chaotic noise and random noise. (15th January 2017)

• Record Type: Journal Article
• Authors: Luo, Lei; Sun, Jinwei; Huang, Boyan
• Is Part Of: Applied acoustics. Volume 116(2017)
• Page Start: 229
• Page End: 237
• Publication Date: 2017-01-15
• Subjects: Feedback ANC -- Chaotic noise -- Random noise -- Wavelet packet -- FXLMS; Acoustical engineering -- Periodicals; Periodicals; 620.2
• DOI: 10.1016/j.apacoust.2016.09.029
• Languages: English
• ISSNs: 0003-682X

Abstract

Highlights: Analyzing the possibility of predicting broadband chaotic noise and random noise. A novel feedback ANC using wavelet packet FXLMS (WPFXLMS) algorithm is proposed. Numerous simulations are conducted to demonstrate the effectiveness of the WPFXLMS algorithm. Abstract: The feedback active noise control (ANC) can be seen as a predictor, the conventional method based on filtered-x least mean square (FXLMS) algorithm can only be useful for linear and tonal noise, but for nonlinear and broadband noise, it is useless. The feedback ANC using functional link artificial neural networks (FLANN) based on filtered-s least mean square (FSLMS) algorithm can reduce some nonlinear noise such as chaotic noise, but the noise cancellation performance is not very well, at the same time, it is not useful to random noise. To solve the problem above, a new feedback ANC using wavelet packet FXLMS (WPFXLMS) algorithm is proposed in this paper. By decomposing the broadband noise into several band-limited parts which are predictable and each part is controlled independently, the proposed algorithm can not only suppress the chaotic noise, but also mitigate the random noise. Compared with FXLMS and FSLMS algorithms, proposed WPFXLMS algorithm also holds the best performance on noise cancellation. Numerous simulations are conducted to demonstrate the effectiveness of the proposed WPFXLMS algorithm.