A survey on active noise control in the past decade-Part II: Nonlinear systems

被引：70
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, Robot Technol Used Special Environm Key Lab Sichu, Sch Informat Engn, Mianyang 621010, Sichuan, Peoples R China
[6] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
来源：
SIGNAL PROCESSING | 2021年 / 181卷
基金：
中国博士后科学基金; 美国国家科学基金会;
关键词：
Nonlinear active noise control; Volterra algorithms; Artificial neural networks; Kernel adaptive filters; NEURAL-NETWORK FILTER; ADAPTIVE BILINEAR FILTERS; DOUBLE-GLAZED WINDOWS; CONTROL ALGORITHM; SECONDARY PATH; ROAD NOISE; INSPIRED HEURISTICS; GENETIC ALGORITHM; TRANSFORMER NOISE; IMPULSIVE NOISE;
D O I：
10.1016/j.sigpro.2020.107929
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：
Part I of this paper reviewed the development of the linear active noise control (ANC) technique in the past decade. However, ANC systems might have to deal with some nonlinear components and the performance of linear ANC techniques may degrade in this scenario. To overcome this limitation, nonlinear ANC (NLANC) algorithms were developed. In Part II, we review the development of NLANC algorithms during the last decade. The contributions of heuristic ANC algorithms are outlined. Moreover, we emphasize recent advances of NLANC algorithms, such as spline ANC algorithms, kernel adaptive filters, and nonlinear distributed ANC algorithms. Then, we present recent applications of ANC technique including linear and nonlinear perspectives. Future research challenges regarding ANC techniques are also discussed. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数：16
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