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Mixed-error approach for multi-channel active noise control of open windows

机译：混合误差方法用于打开窗户的多通道主动噪声控制

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摘要

This paper presents an attempt to reduce the computational complexity, while achieving acceptable level of noise reduction in a multi-channel active noise control (MCANC) system for mitigating noise passing through open windows. The reference signals are sensed at the back of the secondary loudspeakers. The existing approach to reduce the computational complexity has already used only one reference signal in each feedforward channel. As the number of error microphones is also important to ensure global noise reduction of the MCANC system for open windows, the main idea of this paper is to preprocess the error signals so that the number of inputs to the controller is further reduced. When the preprocessing is a simple summation, it is called the mixed-error approach. The number of inputs related to the error signals is eventually reduced to 1 after the mixed-error approach is applied. Simulation results demonstrate that the optimum control filters derived under general conditions can lead to similar global noise reduction to those derived based on the mixed-error approach. Experimental results confirm that in a 4-channel MCANC system applied to a 0.2 m by 0.2 m open window, the performance of global noise reduction is not compromised by the mixed-error approach. (C) 2017 Elsevier Ltd. All rights reserved.
机译：本文提出了一种降低计算复杂度的尝试，同时在多通道主动噪声控制（MCANC）系统中实现了可接受的降噪水平，以减轻穿过打开的窗口的噪声。参考信号在辅助扬声器的背面进行检测。降低计算复杂度的现有方法已经在每个前馈通道中仅使用一个参考信号。由于误差麦克风的数量对于确保MCANC系统在开窗时的整体降噪也很重要，因此本文的主要思想是对误差信号进行预处理，以进一步减少控制器的输入数量。当预处理是简单的求和时，称为混合错误方法。应用混合错误方法后，与错误信号相关的输入数量最终减少为1。仿真结果表明，在一般条件下得出的最优控制滤波器可以导致与基于混合误差方法得出的那些相似的全局噪声降低。实验结果证实，在应用于0.2 m x 0.2 m开窗的4通道MCANC系统中，混合误差方法不会降低整体降噪的性能。 （C）2017 Elsevier Ltd.保留所有权利。

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