RT info:eu-repo/semantics/article
T1 Design and evaluation of a scalable and reconfigurable multi-platform system for acoustic imaging
A1 Izquierdo Fuente, Alberto
A1 Villacorta Calvo, Juan José
A1 Val Puente, Lara del
A1 Suárez, Luis
K1 MEMS array
K1 Scalable system
K1 Multi-platform framework
K1 Acoustic imaging
K1 33 Ciencias Tecnológicas
AB 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.
PB MDPI
SN 1424-8220
YR 2016
FD 2016
LK https://uvadoc.uva.es/handle/10324/57890
UL https://uvadoc.uva.es/handle/10324/57890
LA eng
NO Sensors, 2016, vol. 16, n. 10, p. 1671
NO Producción Científica
DS UVaDOC
RD 24-nov-2024