8 Citaten (Scopus)


Microphone arrays add an extra dimension to sensory information from Wireless Sensor Networks by determining the direction of the sound instead of only its intensity. Microphone arrays, however, need to be flexible enough to adapt their characteristics to realistic acoustic environments, while being power efficient, as they are battery-powered. Consequently, there is a clear need to design adaptable microphone array nodes enabling quality aware distributed sensing and prioritizing low power consumption. In this paper a novel dynamic, scalable and energy-efficient FPGA-based architecture is presented. The proposed architecture applies the Delay-and-Sum beamforming technique to the single-bit digital audio from the MEMS microphones to obtain the relative sound power in the time domain. As a result, the resource consumption is drastically reduced, making the proposed architecture suitable for low-power Flash-based FPGAs. In fact, the architecture’s power consumption estimation can become as low as 649 μW per microphone.
Originele taal-2English
TitelInternational Symposium on Applied Reconfigurable Computing
SubtitelArchitectures, Tools, and Applications - 14th International Symposium, ARC 2018, Proceedings
RedacteurenNikolaos Voros, Georgios Keramidas, Christos Antonopoulos, Michael Huebner, Pedro C. Diniz, Diana Goehringer
Aantal pagina's13
ISBN van elektronische versie978-3-319-78890-6
StatusPublished - 31 mei 2018
EvenementInternational Symposium on Applied Reconfigurable Computing - Santorini, Fira, Greece
Duur: 2 mei 20184 mei 2018
Congresnummer: 14

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10824 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349


ConferenceInternational Symposium on Applied Reconfigurable Computing
Verkorte titelARC
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