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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2020-05-01
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Online Access: | https://www.mdpi.com/2624-599X/2/2/19 |
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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 |
work_keys_str_mv |
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