摘要
针对有源噪声消除(ANC)系统在室内噪声消除应用中收敛速度慢、降噪量小的问题,提出了基于次级通道在线辨识新算法交叉更新有源噪声控制系统。次级通道在线辨识新算法基于FxLMS算法来更新控制滤波器权值:使用变步长LMS(VSS LMS)算法的建模滤波器用于对次级路径进行建模;使用修改的牛顿LMS(LMSN)算法的第3个自适应滤波器用来消除误差信号与参考输入信号相关的信号,提高建模滤波器的建模精度和收敛速度。仿真结果表明,提出的结构提高了整个系统收敛速度,改善了降噪性能。
The active noise cancellation(ANC)system is slow in convergence and low noise reduction in indoor noise cancellation applications.A new algorithm based on secondary channel online identification is proposed to cross-update the active noise control system.The new algorithm for online identification of secondary channels is based on the FxLMS algorithm to update the control filter weights:a modeling filter using a variable step size LMS(VSS LMS)algorithm for modeling the secondary path;using a modified Newton LMS(LMSN)The third adaptive filter of the algorithm is used to eliminate the error signal and the signal related to the reference input signal,and improve the modeling accuracy and convergence speed of the modeling filter.The simulation results show that the proposed structure improves the convergence speed of the whole system and improves the noise reduction performance.
作者
袁军
吕韦喜
刘东旭
张涛
YUAN Jun;LV Wei-xi;LIU Dong-xu;ZHANG Tao(College of Optoelectronic Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《自动化与仪表》
2019年第3期58-65,共8页
Automation & Instrumentation
基金
重庆科委基金资助项目(cstc2016jcyjA0272)
重庆市教委基金项目(KJ1500424)
