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Sensors 2016, 16(10), 1671; doi:10.3390/s16101671

Design and Evaluation of a Scalable and Reconfigurable Multi-Platform System for Acoustic Imaging

1
Signal Theory and Communications Department, University of Valladolid, Valladolid 47011, Spain
2
Mechanical Engineering Area, Industrial Engineering School, University of Valladolid, Valladolid 47011, Spain
3
Civil Engineering Department, Superior Technical College, University of Burgos, Burgos 09001, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 3 May 2016 / Revised: 29 September 2016 / Accepted: 8 October 2016 / Published: 11 October 2016
(This article belongs to the Special Issue Imaging: Sensors and Technologies)
View Full-Text   |   Download PDF [7759 KB, uploaded 11 October 2016]   |  

Abstract

This paper proposes a scalable and multi-platform framework for signal acquisition and processing, which allows for the generation of acoustic images using planar arrays of MEMS (Micro-Electro-Mechanical Systems) microphones with low development and deployment costs. Acoustic characterization of MEMS sensors was performed, and the beam pattern of a module, based on an 8 × 8 planar array and of several clusters of modules, was obtained. A flexible framework, formed by an FPGA, an embedded processor, a computer desktop, and a graphic processing unit, was defined. The processing times of the algorithms used to obtain the acoustic images, including signal processing and wideband beamforming via FFT, were evaluated in each subsystem of the framework. Based on this analysis, three frameworks are proposed, defined by the specific subsystems used and the algorithms shared. Finally, a set of acoustic images obtained from sound reflected from a person are presented as a case study in the field of biometric identification. These results reveal the feasibility of the proposed system. View Full-Text
Keywords: MEMS array; scalable system; multi-platform framework; acoustic imaging MEMS array; scalable system; multi-platform framework; acoustic imaging
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Izquierdo, A.; Villacorta, J.J.; del Val Puente, L.; Suárez, L. Design and Evaluation of a Scalable and Reconfigurable Multi-Platform System for Acoustic Imaging. Sensors 2016, 16, 1671.

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