Adjoint nonlinear active noise control algorithm for virtual microphone

被引：20

作者：

Das, Debi Prasad ^{[1
,2
]}

Moreau, Danielle J. ^{[2
]}

Cazzolato, Ben S. ^{[2
]}

机构：

[1] CSIR Inst Minerals & Mat Technol, Bhubaneswar 751013, Orissa, India

[2] Univ Adelaide, Sch Mech Engn, Adelaide, SA 5005, Australia

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2012年 / 27卷

关键词：

Nonlinear ANC; Virtual ANC; Filtered-error algorithm; Adjoint LMS; FLANN; NARROW-BAND NOISE; LMS ALGORITHM; ERROR LMS; SOUND;

D O I：

10.1016/j.ymssp.2011.09.012

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Controlling nonlinear noise processes at a virtual location involves higher computational complexity compared to traditional active noise control (ANC) at a physical sensor. In an attempt to reduce the computational burden, a filtered-error LMS based ANC algorithm is proposed in this paper for controlling a nonlinear noise process at a virtual location. The filtered-error based algorithm using the adjoint of the secondary path is used to develop both linear and nonlinear ANC controllers with the later based on the functional link artificial neural network. A computer simulation and real-time experimental study with detailed computational complexity analysis are presented to support the proposed algorithm. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：743 / 754

页数：12

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