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首页> 外文会议>2016 IEEE International Workshop on Acoustic Signal Enhancement >On pre-filtering strategies for the GCC-PHAT algorithm
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On pre-filtering strategies for the GCC-PHAT algorithm

机译：关于GCC-PHAT算法的预过滤策略

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摘要

In this paper, we investigate the impact of the pre-filtering method to generalized cross-correlation (GCC) based direction of arrival (DOA) estimation. The role of pre-filtering is either to emphasize or deemphasize certain frequency components before computing cross power spectrum. However, its impact or relation to environmental variation, e.g., in noisy environments, has not been clearly studied yet. An efficient pre-filter should consider the relative importance of individual frequency components and adaptively change its related parameters based on environmental variations. We first investigate the relationship between conventional pre-filtering functions and power normalization factors and its dependency on signal-to-noise-ratio (SNR) in various noisy environments. Then, we experimentally show that it is helpful to introduce a Wiener-like gain function into the pre-filtering process to efficiently design a generalized rule to determine control parameters. By analyzing the importance of parameter estimation errors in the estimation of Wiener filter parameters, e.g. noise power spectral density (PSD) and the a priori SNR, this paper proposes an efficient estimation strategy to design a pre-filter for robust GCC based DOA estimation.
机译：在本文中，我们研究了预滤波方法对基于广义互相关（GCC）的到达方向（DOA）估计的影响。在计算交叉功率谱之前，预滤波的作用是强调或不强调某些频率分量。然而，例如在嘈杂的环境中，其影响或与环境变化的关系尚未得到清楚的研究。一个有效的前置滤波器应考虑各个频率分量的相对重要性，并根据环境变化自适应地更改其相关参数。我们首先研究了常规预滤波功能与功率归一化因子之间的关系，以及它们在各种噪声环境中对信噪比（SNR）的依赖性。然后，我们通过实验表明，将类似于维纳的增益函数引入到预滤波过程中以有效地设计通用规则来确定控制参数是有帮助的。通过分析参数估计误差在维纳滤波器参数估计中的重要性，例如噪声功率谱密度（PSD）和先验SNR，本文提出了一种有效的估计策略，以设计基于鲁棒GCC的DOA估计的预滤波器。

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