Page 146 - 《应用声学》2020年第4期

第 39 卷 第 4 期 Vol. 39, No. 4
2020 年 7 月 Journal of Applied Acoustics July, 2020

⋄ 研究报告 ⋄

调节水床效应的双梯度有源噪声控制自适应算法 ∗

吴礼福 1,2† 陈晶晶 1 郭业才 1,2

(1 南京信息工程大学 电子与信息工程学院 南京 210044)
(2 江苏省大气环境与装备技术协同创新中心 南京 210044)

摘要：为了使自适应反馈有源噪声控制系统能够兼顾水床效应，通过约束次级信号的能量以调节噪声放大，设
计了一种双梯度算法。当次级信号满足约束，算法沿着最小化误差信号能量的梯度方向迭代，反之，则沿着最
小化次级信号能量的方向迭代。在有源降噪耳机实例中的对比结果表明，该算法能调节噪声放大并保持较大
的降噪带宽，且运算量没有显著增加。
关键词：有源噪声控制；自适应滤波；水床效应
中图法分类号: O429 文献标识码: A 文章编号: 1000-310X(2020)04-0632-06
DOI: 10.11684/j.issn.1000-310X.2020.04.018

Adaptive double-gradient active noise control algorithms for

tuning waterbed effect

WU Lifu 1,2 CHEN Jingjing 1 GUO Yecai 1,2

(1 School of Electronic & Information Engineering, Nanjing University of Information Science & Technology,
Nanjing 210044, China)
(2 Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,
Nanjing 210044, China)
Abstract: To make the adaptive feedback active noise control system take into account the waterbed effect, a
double gradient algorithm is designed by limiting the secondary signal energy to adjust the noise amplification.
If the secondary signal satisfies the constraint, the algorithm iterates along the gradient direction of minimizing
the error signal energy, otherwise, it iterates along the direction of minimizing the secondary signal energy. The
comparison results in an active noise reduction headset show that the designed algorithm can adjust the noise
amplification while maintaining a large noise reduction bandwidth and its computation load does not increase
significantly.
Keywords: Active noise control; Adaptive filter; Waterbed effect

2019-11-14 收稿; 2020-03-31 定稿
国家自然科学基金项目 (11504176)
∗
作者简介: 吴礼福 (1981– ), 男, 安徽全椒人, 博士, 副教授, 研究方向: 音频信号处理。
通信作者 E-mail: wulifu@nuist.edu.cn
†