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首页> 外文期刊>Signal Processing, IET >Blind adaptive preprocessing to multichannel feedforward active noise control system
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Blind adaptive preprocessing to multichannel feedforward active noise control system

机译：多通道前馈有源噪声控制系统的盲自适应预处理

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摘要

The reference paths from original sources to reference sensors in multichannel feedforward active noise control (ANC) systems are often ignored by most ANC algorithms. Two blind preprocessing adaptive algorithms in time and frequency domain are proposed to deal with some more complicated applications, especially when the reference sensors cannot be located closely to noise sources or the noise sources are moving slowly. Blind preprocessing algorithm to the reference signals can improve the structure of the cross spectral density matrix of the inputs to the multichannel filtered-x least mean square (LMS) algorithm in the following stage, and faster convergence speed can be obtained. The computational complexity of two proposed algorithms is analysed and simulations with impulse responses measured in a real reverberant room is applied to verify the convergence performance of the proposed algorithm.
机译：大多数ANC算法通常会忽略从原始源到多通道前馈有源噪声控制（ANC）系统中参考传感器的参考路径。提出了两种时域和频域的盲预处理自适应算法来处理一些更复杂的应用，特别是当参考传感器不能靠近噪声源或噪声源移动缓慢时。对参考信号的盲预处理算法可以在后续阶段改善多通道滤波x最小均方（LMS）算法输入的交叉谱密度矩阵的结构，并且可以获得更快的收敛速度。分析了所提出的两种算法的计算复杂性，并通过在真实混响室内测量脉冲响应的仿真来验证所提出算法的收敛性能。

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