基于方程误差法的IIR滤波有源噪声控制算法

在前馈有源噪声控制系统中会存在声反馈现象:次级声源产生的声信号反馈至参考传感器处。采用IIR滤波器能更好匹配有零极点的最优解,减弱声反馈影响。为克服FvLMS算法全局收敛性差的缺陷,提出采用比方程误差法(EEM)的计算量更小的EEM-FvLMS算法。在考虑声反馈的情况下,进行基于FvLMS算法和EEM-FvLMS算法的有源噪声控制仿真实验。仿真结果表明:对于窄带噪声,EEM-FvLMS算法性能更优;对于风机噪声,FvLMS算法与EEM-FvLMS算法性能相当;对于FvLMS算法不能控制的误差信号中的干扰信号,EEM-FvLMS算法也能有效控制。

IIR Filter Active Noise Control Algorithms Based on Equation Error Method

In the feedforward active noise control system,there is a sound feedback phenomenon,namely the sound signal generated by the secondary sound source is fed backward to the reference sensor.Using IIR filter can match the optimal solution with zero extreme point and reduce the effect of sound feedback.In order to solve the defect of the poor global convergence of FvLMS algorithm,the EEM-FvLMS algorithm with less computation based on equation error method(EEM)is proposed.The FvLMS algorithm and EEM-FvLMS algorithm are used respectively to simulate the active control of noise when the acoustic feedback is considered.The simulation results show that compared with the FvLMS algorithm,the EEM-FvLMS algorithm has better performance for line spectral noise.For the noise of draught fans,FvLMS algorithm and EEM-FvLMS algorithm are basically equivalent.The EEM-FvLMS algorithm can also effectively control the interference signal in the error signal which the FvLMS algorithm cannot control.