This paper proposes a scalable and multi-platform framework for signal acquisition\nand processing, which allows for the generation of acoustic images using planar arrays of MEMS\n(Micro-Electro-Mechanical Systems) microphones with low development and deployment costs.\nAcoustic characterization of MEMS sensors was performed, and the beam pattern of a module, based\non an 8 Ã?â?? 8 planar array and of several clusters of modules, was obtained. A flexible framework,\nformed by an FPGA, an embedded processor, a computer desktop, and a graphic processing unit, was\ndefined. The processing times of the algorithms used to obtain the acoustic images, including signal\nprocessing and wideband beamforming via FFT, were evaluated in each subsystem of the framework.\nBased on this analysis, three frameworks are proposed, defined by the specific subsystems used and\nthe algorithms shared. Finally, a set of acoustic images obtained from sound reflected from a person\nare presented as a case study in the field of biometric identification. These results reveal the feasibility\nof the proposed system.
Loading....