单声矢量传感器在高混响环境下的声测向

M. Aktas, Toygar Akgün, Huseyin Ozkan
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引用次数: 4

摘要

我们提出了一种利用单个声矢量传感器(AVS)测量高混响环境的新型宽带声学测向方法。由于AVS体积小,可以有效地在整个声学频带内使用,因此所提出的解决方案适用于宽带声源定位。特别是,我们引入了一种新的方法来提取不受多径信号和噪声扭曲的信号部分。我们不做任何随机和稀疏假设关于潜在的信号源。因此,我们的方法可以应用于大范围的宽带声信号。我们提出了专门暴露于长混响的声信号的实验,其中信噪比低至0 dB。在这些实验中,即使在引入明显的高混响条件下,该方法也能可靠地估计出源方向,误差小于5度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acoustic direction finding in highly reverberant environment with single acoustic vector sensor
We propose a novel wideband acoustic direction finding method for highly reverberant environments using measurements from a single Acoustic Vector Sensor (AVS). Since an AVS is small in size and can be effectively used within the full acoustic frequency bands, the proposed solution is suitable for wideband acoustic source localization. In particular, we introduce a novel approach to extract the signal portions that are not distorted with multipath signals and noise. We do not make any stochastic and sparseness assumptions regarding the underlying signal source. Hence, our approach can be applied to a wide range of wideband acoustic signals. We present experiments with acoustic signals that are specially exposed to long reverberations, where the Signal-to-Noise Ratio is as low as 0 dB. In these experiments, the proposed method reliably estimates the source direction with less than 5 degrees of error even under the introduced significantly high reverberation conditions.
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