摘要
本文着重研究窄带信号噪声自适应主动抑制技术中的次级通道特性在线识别问题。针对窄带噪声信号,提出了基于自适应陷波器的次级通道特性在线识别算法,该方法利用自适应陷波器技术解决在线识别时存在的激励信号干扰问题,从而提高次级通道特性在线识别的速度。同时研究了选定参数对算法性能的影响。仿真结果表明,基于自适应陷波器的次级通道特性在线识别算法能较大程度的提高对次级通道特性的识别速度。
Online secndary path modeling for active noise control system is researched in this paper.According to the characteristics of narrowband noise in a linear system,a new method based on adaptive notch filter is presented to eliminate the interference that originated from control signal to the online secondary path modeling.As a result,the convergence speed of secondary path modeling is improved significantly.The effect from convergence coefficient and the order of the transverse filter to the algorithm is also discussed.Simulation result shows that the proposed method is able to greatly improve the speed of secondary path modeling.
出处
《噪声与振动控制》
CSCD
2003年第6期21-24,共4页
Noise and Vibration Control
基金
国防重点实验室基金(Js525146304080HK0204)
