无次级路径建模的反馈有源窄带噪声控制算法

A feedback active narrowband noise control algorithm with no secondary path modeling

目的:规避离线建模或在线建模获取次级路径信息,减少计算量。方法:提出了基于简化反馈系统的无次级路径建模有源窄带噪声控制算法,分析次级路径脉冲响应由电时延成分、直达声时延成分和一系列反射声组成,通过先测出电时延,再估计出直达声时延,构建次级路径脉冲响应,从而简化次级路径建模方法。结果:所提无需次级路径建模获取次级路径脉冲响应的方法,能够实现反馈有源噪声控制,在降噪量不减的前提下,有效降低计算量。当自适应滤波器长度为256时,计算量仅为530。结论:分别以单频、带限白噪声和带限粉红噪声为噪声源,仿真结果表明所提算法与SAIMC算法降噪量相当,在不同自适应滤波器长度下,计算量均低于SAIMC算法。

Aims:To circumvent secondary path modeling by offline or online methods,and reduce the computational complexity.Methods:A feedback active narrowband noise control algorithm with no secondary path modeling is proposed.The impulse response of secondary path can be expressed as a combination of the acoustic delay components and the electrical delay components of the path.Once the associated time delays are estimated,the information of the secondary path impulse response can be attained and simplified the modeling method.Results:The secondary path modeling is avoided and the feedback active narrowband noise control is realized by using the proposed algorithm,which reduces the computational complexity.If the adaptive filter length is set to 256,the computational complexity is 530.Conclusions:The single frequency,narrowband white noise and narrowband pink noise are used as the primary noise in the simulation,respectively,and results show the proposed algorithm can obtain similar noise reduction performance as the SAIMC algorithm,and has low computational complexity different length of adaptive filter.