A survey on active noise control in the past decade-Part I: Linear systems

被引:103
作者
Lu, Lu [1 ]
Yin, Kai-Li [2 ]
de Lamare, Rodrigo C. [3 ]
Zheng, Zongsheng [4 ]
Yu, Yi [5 ]
Yang, Xiaomin [1 ]
Chen, Badong [6 ]
机构
[1] Sichuan Univ, Sch Elect & Informat Engn, Chengdu 610065, Sichuan, Peoples R China
[2] Sichuan Univ, Sch Comp Sci, Chengdu 610065, Sichuan, Peoples R China
[3] Pontificia Univ Catolica Rio de Janeiro, CETUC, BR-22451900 Rio de Janeiro, Brazil
[4] Sichuan Univ, Sch Elect Engn, Chengdu 610065, Peoples R China
[5] Southwest Univ Sci & Technol, Sch Informat Engn, Robot Technol Used Special Environm Key Lab Sichu, Mianyang 621010, Sichuan, Peoples R China
[6] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
基金
中国博士后科学基金; 美国国家科学基金会;
关键词
Active noise control; Adaptive filtering; FxLMS-based algorithms; Distributed algorithms; FILTERED-X LMS; STRUCTURAL ACOUSTIC CONTROL; VARIABLE STEP-SIZE; AFFINE PROJECTION ALGORITHM; PATH MODELING TECHNIQUE; MEAN SQUARES ALGORITHM; LEAKY-FXLMS ALGORITHM; BAND ANC SYSTEM; ADAPTIVE ALGORITHM; IMPULSIVE NOISE;
D O I
10.1016/j.sigpro.2021.108039
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
Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic or electromechanical systems. Since its first introduction in 1936, this approach has been greatly developed. This paper focuses on discussing the development of ANC techniques over the past decade. Linear ANC algorithms, including the celebrated filtered-x least-mean-square (FxLMS)-based algorithms and distributed ANC algorithms, are investigated and evaluated. Nonlinear ANC (NLANC) techniques, such as functional link artificial neural network (FLANN)-based algorithms, are pursued in Part II. Furthermore, some novel methods and applications of ANC emerging in the past decade are summarized. Finally, future research challenges regarding the ANC technique are discussed. (C) 2021 Elsevier B.V. All rights reserved.
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页数:22
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