School of Mechanical Engineering, The University of Adelaide, Adelaide, South Australia 5005, Australia.
J Acoust Soc Am. 2012 Aug;132(2):779-88. doi: 10.1121/1.4731227.
In active noise control (ANC) systems, virtual microphones provide a means of projecting the zone of quiet away from the physical microphone to a remote location. To date, linear ANC algorithms, such as the filtered-x least mean square (FXLMS) algorithm, have been used with virtual sensing techniques. In this paper, a nonlinear ANC algorithm is developed for a virtual microphone by integrating the remote microphone technique with the filtered-s least mean square (FSLMS) algorithm. The proposed algorithm is evaluated experimentally in the cancellation of chaotic noise in a one-dimensional duct. The secondary paths evaluated experimentally exhibit non-minimum phase response and hence poor performance is obtained with the conventional FXLMS algorithm compared to the proposed FSLMS based algorithm. This is because the latter is capable of predicting the chaotic signal found in many physical processes responsible for noise. In addition, the proposed algorithm is shown to outperform the FXLMS based remote microphone technique under the causality constraint (when the propagation delay of the secondary path is greater than the primary path). A number of experimental results are presented in this paper to compare the performance of the FSLMS algorithm based virtual ANC algorithm with the FXLMS based virtual ANC algorithm.
在有源噪声控制系统（ANC）中，虚拟麦克风提供了一种将安静区域从物理麦克风投射到远程位置的方法。迄今为止，线性 ANC 算法（如滤波-x 最小均方（FXLMS）算法）已与虚拟传感技术一起用于虚拟麦克风。在本文中，通过将远程麦克风技术与滤波-s 最小均方（FSLMS）算法相结合，为虚拟麦克风开发了一种非线性 ANC 算法。在所提出的算法中，通过在一维管道中对混沌噪声的消除来评估实验性能。所评估的实验二次路径表现出非最小相位响应，因此与传统的基于 FXLMS 的算法相比，所提出的基于 FSLMS 的算法的性能较差。这是因为后者能够预测许多负责噪声的物理过程中发现的混沌信号。此外，在所提出的算法中，当二次路径的传播延迟大于主要路径时，它表现出优于基于 FXLMS 的远程麦克风技术的性能（因果约束）。本文提出了一些实验结果来比较基于 FSLMS 的虚拟 ANC 算法和基于 FXLMS 的虚拟 ANC 算法的性能。
