Muñoz Felipe, Soto Marcelo A
Department of Electronics Engineering, Universidad Técnica Federico Santa María, 2390123, Valparaíso, Chile.
Nat Commun. 2022 Jul 11;13(1):4019. doi: 10.1038/s41467-022-31681-x.
Distributed acoustic sensors (DAS) can monitor mechanical vibrations along thousands independent locations using an optical fibre. The measured acoustic waveform highly varies along the sensing fibre due to the intrinsic uneven DAS longitudinal response and distortions originated during mechanical wave propagation. Here, we propose a fully blind method based on near-field acoustic array processing that considers the nonuniform response of DAS channels and can be used with any optical fibre positioning geometry having angular diversity. With no source and fibre location information, the method can reduce signal distortions and provide relevant signal-to-noise ratio enhancement through sparse beamforming spatial filtering. The method also allows the localisation of the two-dimensional spatial coordinates of acoustic sources, requiring no specific fibre installation design. The method offers distributed analysis capabilities of the entire acoustic field outside the sensing fibre, enabling DAS systems to characterise vibration sources placed in areas far from the optical fibre.
分布式声学传感器(DAS)可以使用光纤监测沿数千个独立位置的机械振动。由于DAS纵向响应的固有不均匀性以及机械波传播过程中产生的失真,所测量的声学波形沿传感光纤变化很大。在此,我们提出一种基于近场声学阵列处理的完全盲法,该方法考虑了DAS通道的非均匀响应,并且可用于具有角度分集的任何光纤定位几何结构。在没有源和光纤位置信息的情况下,该方法可以减少信号失真,并通过稀疏波束形成空间滤波提高相关的信噪比。该方法还允许对声源的二维空间坐标进行定位,无需特定的光纤安装设计。该方法提供了传感光纤外部整个声场的分布式分析能力,使DAS系统能够对放置在远离光纤区域的振动源进行表征。