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Sound source localisation and signal extraction with multiple microphone arrays

机译:具有多个麦克风阵列的声源定位和信号提取

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The idea of applying the microphone array technology for machine condition monitoring of a mine site has been investigated at the University of Western Australia. As a key part of the investigation, this paper focuses on the sound source localisation and signal extraction using the beamforming technique. Instead of a single large array, multiple small arrays are used, as practically, they can be easily deployed. In terms of array processing, they are normally processed as independent arrays. However, with synchronised sampling they can also be processed as a single combined array. These two processing approaches are termed the independent array approach (IAA) and the synchronised array approach (SAA), respectively. The main advantage of SAA is its greater array gain and higher beam resolution. However, the arrays need to be placed close to one another to avoid producing aliasing lobes. The IAA on the other hand has no such restrictions and the arrays can be placed independently in any position. This may provide gains in signal to interference and noise ratio (SINR) for individual sound sources in certain circumstances. In order to compare the performance of the two approaches under various conditions, numerical simulations are carried out. The performances are evaluated in terms of the accuracy of source localisation and the fidelity of signal extraction. The general guideline for using the two approaches is provided.
机译:在西澳大利亚大学研究了应用麦克风阵列技术进行机械状况监测的想法。作为调查的关键部分,本文侧重于使用波束成形技术的声源定位和信号提取。而不是单个大阵列,使用多个小阵列,从实际上,可以轻松地部署它们。在阵列处理方面,它们通常被处理为独立数组。但是,通过同步采样,它们也可以作为单个组合阵列处理。这两个处理方法分别称为独立的阵列方法(IAA)和同步阵列方法(SAA)。 SAA的主要优点是其阵列增益和更高的光束分辨率。然而,阵列需要彼此接近地放置,以避免产生锯齿裂片。另一方面的IAA没有这种限制,并且阵列可以在任何位置独立放置。在某些情况下,这可以为各个声源的干扰和噪声比(SINR)提供增益。为了在各种条件下比较两种方法的性能,执行数值模拟。根据源定位的准确性和信号提取的保真来评估性能。提供了使用两种方法的一般指南。

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