一种不需要次级通道建模的有源噪声控制算法

对有源噪声控制的研究,绝大部分都是建立在次级通道已知的基础上,或者通过在线或离线辨识来建模次级通道,通过分析滤波-XLMS（FXLMS）算法收敛的几何特性实现有源噪声的无模型控制。子带技术是将信号通过不同频带的滤波器,把信号分解到不同频带的子带中,对各子带信号分别进行相应的处理,并减少处理时间。将两者相结合,运用子带技术,采用过采样无延迟子带结构消除单频噪声、窄带噪声以及宽带噪声,降噪效果明显。相比传统的XLMS滤波算法,该算法降低了运算量,且实现结构简单。

An active noise control algorithm without secondary path identification

Most available active noise control（ANC） requires the identification of the secondary path using offline or online secondary path identification technique.By means of analyzing the FXLMS Algorithm’s vector map and its geometric characteristics of algorithm convergence,the model free ANC can be realized.Sub-band technology is that the signal through different filter banks is decomposed into different sub-band frequency bands,so that each sub-band signal can be separately dealt with accordingly,and reduce the processing time.In this paper,combining the two technologies,an ANC algorithm is proposed without secondary path identification based on the over-sampled non-delay sub-band architecture.