一种窄带主动噪声控制系统次声学路径建模技术

本文针对最大长度序列相关(Maximal Length sequence Correlation，MLc)建模技术在窄带主动噪声控制系统次声学路径建模的应用中，系统性能易受窄带信号影响这一不足，提出了一种改进的MLC(MMLC)次声学路径建模技术。具体地说就是采用一个自适应预测滤波器来预测和消除MLC技术中的窄带干扰，并用一个补偿滤波器来修正由预测误差滤波器引起的训练信号成分失真。计算机仿真表明，MMLC算法能有效克服窄带主动噪声控制系统次声学路径建模的窄带信号影响，具有较高的建模精度。

A Secondary Path Modeling Technique For Narrow band Active Noise Control Systems

When the maximal length sequence correlation (MLC) technique is applied to the secondary path modeling for narrowband active noise control systems, the system performance is easily affected by narrowband signals. In order to overcome this shortcoming, a modified MLC (MMLC) secondary path modeling technique is proposed. That is, a prediction error filter is used to remove the narrowband components in the error signal. The distortion of training signal component due to prediction error is modified by a compensation filter. Computer simulations confirm that using this novel secondary path modeling technique, the impact of the narrowband signals can be overcome effectively as to attain higher modeling accuracy.