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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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 AT juanjvillacorta implementationofavirtualmicrophonearraytoobtainhighresolutionacousticimages AT laradelval implementationofavirtualmicrophonearraytoobtainhighresolutionacousticimages AT luissuarez implementationofavirtualmicrophonearraytoobtainhighresolutionacousticimages AT davidsuarez implementationofavirtualmicrophonearraytoobtainhighresolutionacousticimages |
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