A robust filtered-s LMS algorithm for nonlinear active noise control

被引：97

作者：

George, Nithin V. ^{[1
]}

Panda, Ganapati ^{[1
]}

机构：

[1] Indian Inst Technol, Sch Elect Sci, Bhubaneswar 751013, Odisha, India

来源：

APPLIED ACOUSTICS | 2012年 / 73卷 / 08期

关键词：

Active noise control; Robust algorithm; Filtered-s least mean square algorithm; Functional link artificial neural network; Impulsive noise; IMPULSIVE NOISE; FXLMS ALGORITHM; PERFORMANCE;

D O I：

10.1016/j.apacoust.2012.02.005

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The performance of a nonlinear active noise control (ANC) system based on the recently developed filtered-s least mean square (FsLMS) algorithm deteriorates when strong disturbances in the ANC system are acquired by the microphones. To surmount this shortcoming, a novel robust FsLMS (RFsLMS) algorithm is proposed for a functional link artificial neural network (FLANN) based ANC system. The new ANC system is least sensitive to such disturbances and does not call for any prior information on the noise characteristics. The results obtained from simulation study establish the effectiveness of this new ANC scheme. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：836 / 841

页数：6

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