Multi-frequency narrowband active noise control with online feedback-path modeling using IIR adaptive notch filters

被引：0

作者：

Wang, Z. ^{[1
]}

Xiao, Y. ^{[1
]}

Ma, L. ^{[2
]}

Khorasani, K. ^{[2
]}

Ma, Y. ^{[3
]}

机构：

[1] Prefectural Univ Hiroshima, Dept Management & Informat Syst, Hiroshima, Japan

[2] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada

[3] Jiangnan Univ, Dept Elect Engn, Wuxi, Jiangsu, Peoples R China

来源：

2019 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS 2019) | 2019年

关键词：

Active noise control (ANC); feedback path modeling (FBPM); IIR notch filter; auxiliary white Gaussian noise; noise reduction performance; magnitude / phase adjuster (MPA); VARIABLE STEP-SIZE;

D O I：

10.1109/apccas47518.2019.8953160

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a multi-frequency narrowband active noise control (ANC, NANC) system is proposed which consists of an online feedback-path modeling (FBPM) subsystem and a cascaded adaptive HR notch filter (ANF) bank. An auxiliary white Gaussian noise (AWGN) scaled by a nonlinear function of the residual noise is injected into the secondary source to implement and facilitate the FBPM. The coupling between the FBPM subsystem and the controller is significantly reduced by the cascaded ANF bank. The bandpass output produced by each ANF bank cell is fed to a two-weight sub-controller or magnitude and phase adjuster (MPA). The normalized gradient (NG) and the FXLMS algorithm are applied to the ANFs and the NANC controller, respectively. The FBPM subsystem is updated by the LMS algorithm. Extensive simulations reveal the superior effectiveness of the proposed ANC system over a recently developed NANC system.

引用

页码：289 / 292

页数：4

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