摘要
在主动降噪的过程中,为了提高前馈滤波-x最小均方(Filtered-xLMS:FxLMS)算法的收敛速率,降低稳态误差,获得相对更好的噪声控制效果,采用变步长的设计思路对其加以完善,并在此基础上深入考虑算法的稳定性,最后提出一种泄露变步长FxLMS算法。经过仿真模拟验证,该算法优化了传统FxLMS算法的收敛过程。为了进一步增强低频噪声降噪效应,将其算法运用到双通道有源降噪系统中,仿真结果显示双通道降噪效果明显优于单通道,最高可以实现24.7 dB的降噪量。
In the process of active noise control,the convergence rate of feedforward filtered-x least mean square(FxLMS)algorithm is improved,the steady-state error is reduced,and better noise control effect is obtained.This article is based on variable step design idea of the perfect,and on this basis further consider the stability of the algorithm,f inally propose a leakage variable step size FxLMS algorithm,a and the convergence process of the traditional FxLMS algorithm is optimized through simulation verification.In order to further enhance the noise reduction effect of low frequency noise,it is applied to the dual channel active noise reduction system.The simulation results show that the dual channel noise reduction effect is significantly better than the single channel,and the maximum noise reduction can be achieved by 24.7 dB.
作者
百文萌
王劲松
高慧杰
BAI Wenmeng;WANG Jinsong;GAO Huijie(School of Opto-Electronic Engineering,Changchun University of Science and Technology,Changchun 130022;Zhongshan Institute of Changchun University of Science and Technology,Zhongshan 528437)
出处
《长春理工大学学报（自然科学版）》
2022年第6期37-44,共8页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
FXLMS算法
主动降噪
变步长
双通道
FxLMS algorithm
active noise control
variable step size
dual channel
