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

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 ar...

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Main Authors: Simon Jekosch, Ennes Sarradj
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Acoustics
Subjects:
Online Access:https://www.mdpi.com/2624-599X/2/2/19
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spelling doaj-daba1d6188e349229ee70e7cac6085fd2020-11-25T02:31:33ZengMDPI AGAcoustics2624-599X2020-05-0121933034210.3390/acoustics2020019An Extension of the Virtual Rotating Array Method Using Arbitrary Microphone Configurations for the Localization of Rotating Sound SourcesSimon Jekosch0Ennes Sarradj1Institute of Fluid Mechanics and Engineering Acoustics, Technical University Berlin, Einsteinufer 25, 10587 Berlin, GermanyInstitute of Fluid Mechanics and Engineering Acoustics, Technical University Berlin, Einsteinufer 25, 10587 Berlin, GermanyThe 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.https://www.mdpi.com/2624-599X/2/2/19rotating sourcesvirtual rotating microphone arraybeamformingfan noise
collection DOAJ
language English
format Article
sources DOAJ
author Simon Jekosch
Ennes Sarradj
spellingShingle Simon Jekosch
Ennes Sarradj
An Extension of the Virtual Rotating Array Method Using Arbitrary Microphone Configurations for the Localization of Rotating Sound Sources
Acoustics
rotating sources
virtual rotating microphone array
beamforming
fan noise
author_facet Simon Jekosch
Ennes Sarradj
author_sort Simon Jekosch
title An Extension of the Virtual Rotating Array Method Using Arbitrary Microphone Configurations for the Localization of Rotating Sound Sources
title_short An Extension of the Virtual Rotating Array Method Using Arbitrary Microphone Configurations for the Localization of Rotating Sound Sources
title_full An Extension of the Virtual Rotating Array Method Using Arbitrary Microphone Configurations for the Localization of Rotating Sound Sources
title_fullStr An Extension of the Virtual Rotating Array Method Using Arbitrary Microphone Configurations for the Localization of Rotating Sound Sources
title_full_unstemmed An Extension of the Virtual Rotating Array Method Using Arbitrary Microphone Configurations for the Localization of Rotating Sound Sources
title_sort extension of the virtual rotating array method using arbitrary microphone configurations for the localization of rotating sound sources
publisher MDPI AG
series Acoustics
issn 2624-599X
publishDate 2020-05-01
description 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.
topic rotating sources
virtual rotating microphone array
beamforming
fan noise
url https://www.mdpi.com/2624-599X/2/2/19
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