Isotropic Noise Suppression in the Power Spectrum Domain by Symmetric Microphone Arrays
Isotropic Noise Suppression in the Power Spectrum Domain by Symmetric Microphone Arrays
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DOI：
10.1109/aspaa.2007.4393005
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发表时间：
2007-12
期刊：
影响因子：
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通讯作者：
Hikaru Shimizu;Nobutaka Ono;Kyosuke Matsumoto;S. Sagayama
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文献类型：
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作者：
Hikaru Shimizu;Nobutaka Ono;Kyosuke Matsumoto;S. Sagayama
在本文中，我们提出了一个新的阵列处理框架，抑制各向同性噪声的功率谱域。作为理论基础，我们讨论了各向同性噪声协方差矩阵的特性，并证明了当麦克风阵列具有一定的对称性时，它可以被一个确定的酉矩阵对角化。通过对角化，将噪声分量聚集到基变换协方差矩阵的对角线上，并利用最大似然法从非对角线分量中恢复出目标源在指定方向上的功率谱。我们进行了模拟，这表明我们的方法的效率为平稳噪声场和非平稳噪声场的情况。
In this paper, we propose a new array processing framework for suppressing isotropic noise in the power spectrum domain. As a theoretical basis, we discuss the characteristics of the isotropic noise covariance matrix and show that it can be diagonalized by a definite unitary matrix when the microphone array has a certain symmetry. By the diagonalization, our method gathers noise components to diagonals of the basis-transformed covariance matrix and restores the power spectrum of the target source in a specified direction from non-diagonal components by Maximum Likelihood (ML) method. We performed simulations which show the efficiency of our method for both stationary noise field and non-stationary noise field situations.