An Extension of the Virtual Rotating Array Method Using Arbitrary Microphone Configurations for the Localization of Rotating Sound Sources

Abstract

The characterization of rotating aeroacoustic sources using microphone array methods has been proven to be a useful tool. One technique to identify rotating sources is the virtual rotating array method. The method interpolates the pressure time data signals between the microphones in a stationary array to compensate the motion of the rotating sources. One major drawback of the method is the requirement of ring array geometries that are centred around the rotating axis. This contribution extends the virtual rotating array method to arbitrary microphone configurations. Two different ways to interpolate the time signals between the microphone locations are proposed. The first method constructs a mesh between the microphone positions using Delaunay-triangulation and interpolates over the mesh faces using piecewise linear functions. The second one is a meshless technique which is based on radial basis function interpolation. The methods are tested on synthetic array data from a benchmark test case as well as on experimental data obtained with a spiral array and a five-bladed fan.

Sound localization and quantification analysis of an automotive engine cooling module

“…Zenger et al [28] applied the VRA method to characterize the sources of an axial fan for different operating points, whereas Zenger et al [18] tested the VRA algorithm in forward-and backward-skewed axial fans under distorted inflow conditions. An extension of the VRA technique exploiting arbitrary microphone configurations was recently presented by Jekosch and Sarradj [29], pointing out that the VRA method does not require a specifically-designed circular microphone array to investigate rotating sound sources.…”

An Inverse Microphone Array Method for the Estimation of a Rotating Source Directivity

“…In this work, a planar spiral array is used for source localization. The same array geometry was tested with different interpolation methods by Jekosch [17]. A grid-based technique and a meshless technique were developed for arbitrary planar array configuration.…”

Microphone Array and Raspberry Pi Interfacing for Real-time DOA Estimation and Tracking of Audio Sources

“…However, most of the studies are theoretical and simulation-based as they involve the development of signal processing techniques for overcoming sensor noise, mutual coupling, obtaining accurate DOA estimation in the presence of fewer snapshots, operation in harsh and low signal-to-noise-ratio (SNR) conditions etc [22]- [24]. Another portion of research papers is devoted to the hardware design of microphone arrays [25]- [28].An outdoor sound source localization system wherein a microphone array was fitted to a drone was demonstrated in [29].A huge microphone array with 512 microphones was designed and demonstrated in [30]. Similarly, a 1020-node microphone array was designed and tested successfully [31].…”