Implementation of a Virtual Microphone Array to Obtain High Resolution Acoustic Images

Using arrays with digital MEMS (Micro-Electro-Mechanical System) microphones and FPGA-based (Field Programmable Gate Array) acquisition/processing systems allows building systems with hundreds of sensors at a reduced cost. The problem arises when systems with thousands of sensors are needed. This wo...

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Main Authors: Alberto Izquierdo, Juan J. Villacorta, Lara del Val, Luis Suárez, David Suárez
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/18/1/25
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spelling doaj-4025ac6ef0664b9db7569d8dd5fba4b12020-11-25T02:45:02ZengMDPI AGSensors1424-82202017-12-011812510.3390/s18010025s18010025Implementation of a Virtual Microphone Array to Obtain High Resolution Acoustic ImagesAlberto Izquierdo0Juan J. Villacorta1Lara del Val2Luis Suárez3David Suárez4Signal Theory and Communications Department, University of Valladolid, 47011 Valladolid, SpainSignal Theory and Communications Department, University of Valladolid, 47011 Valladolid, SpainMechanical Engineering Area, Industrial Engineering School, University of Valladolid, 47011 Valladolid, SpainCivil Engineering Department, Superior Technical College, University of Burgos, 09001 Burgos, SpainDyquo Company, University of Burgos, 09001 Burgos, SpainUsing arrays with digital MEMS (Micro-Electro-Mechanical System) microphones and FPGA-based (Field Programmable Gate Array) acquisition/processing systems allows building systems with hundreds of sensors at a reduced cost. The problem arises when systems with thousands of sensors are needed. This work analyzes the implementation and performance of a virtual array with 6400 (80 × 80) MEMS microphones. This virtual array is implemented by changing the position of a physical array of 64 (8 × 8) microphones in a grid with 10 × 10 positions, using a 2D positioning system. This virtual array obtains an array spatial aperture of 1 × 1 m2. Based on the SODAR (SOund Detection And Ranging) principle, the measured beampattern and the focusing capacity of the virtual array have been analyzed, since beamforming algorithms assume to be working with spherical waves, due to the large dimensions of the array in comparison with the distance between the target (a mannequin) and the array. Finally, the acoustic images of the mannequin, obtained for different frequency and range values, have been obtained, showing high angular resolutions and the possibility to identify different parts of the body of the mannequin.https://www.mdpi.com/1424-8220/18/1/25virtual arrayMEMS microphoneshigh resolution acoustic images
collection DOAJ
language English
format Article
sources DOAJ
author Alberto Izquierdo
Juan J. Villacorta
Lara del Val
Luis Suárez
David Suárez
spellingShingle Alberto Izquierdo
Juan J. Villacorta
Lara del Val
Luis Suárez
David Suárez
Implementation of a Virtual Microphone Array to Obtain High Resolution Acoustic Images
Sensors
virtual array
MEMS microphones
high resolution acoustic images
author_facet Alberto Izquierdo
Juan J. Villacorta
Lara del Val
Luis Suárez
David Suárez
author_sort Alberto Izquierdo
title Implementation of a Virtual Microphone Array to Obtain High Resolution Acoustic Images
title_short Implementation of a Virtual Microphone Array to Obtain High Resolution Acoustic Images
title_full Implementation of a Virtual Microphone Array to Obtain High Resolution Acoustic Images
title_fullStr Implementation of a Virtual Microphone Array to Obtain High Resolution Acoustic Images
title_full_unstemmed Implementation of a Virtual Microphone Array to Obtain High Resolution Acoustic Images
title_sort implementation of a virtual microphone array to obtain high resolution acoustic images
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2017-12-01
description Using arrays with digital MEMS (Micro-Electro-Mechanical System) microphones and FPGA-based (Field Programmable Gate Array) acquisition/processing systems allows building systems with hundreds of sensors at a reduced cost. The problem arises when systems with thousands of sensors are needed. This work analyzes the implementation and performance of a virtual array with 6400 (80 × 80) MEMS microphones. This virtual array is implemented by changing the position of a physical array of 64 (8 × 8) microphones in a grid with 10 × 10 positions, using a 2D positioning system. This virtual array obtains an array spatial aperture of 1 × 1 m2. Based on the SODAR (SOund Detection And Ranging) principle, the measured beampattern and the focusing capacity of the virtual array have been analyzed, since beamforming algorithms assume to be working with spherical waves, due to the large dimensions of the array in comparison with the distance between the target (a mannequin) and the array. Finally, the acoustic images of the mannequin, obtained for different frequency and range values, have been obtained, showing high angular resolutions and the possibility to identify different parts of the body of the mannequin.
topic virtual array
MEMS microphones
high resolution acoustic images
url https://www.mdpi.com/1424-8220/18/1/25
work_keys_str_mv AT albertoizquierdo implementationofavirtualmicrophonearraytoobtainhighresolutionacousticimages
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AT laradelval implementationofavirtualmicrophonearraytoobtainhighresolutionacousticimages
AT luissuarez implementationofavirtualmicrophonearraytoobtainhighresolutionacousticimages
AT davidsuarez implementationofavirtualmicrophonearraytoobtainhighresolutionacousticimages
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