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VLSI implementation of an energy-aware wake-up detector for an acoustic surveillance sensor network
- Source :
- CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET
- Publication Year :
- 2006
- Publisher :
- Association for Computing Machinery (ACM), 2006.
-
Abstract
- We present a low-power VLSI wake-up detector for a sensor network that uses acoustic signals to localize ground-base vehicles. The detection criterion is the degree of low-frequency periodicity in the acoustic signal, and the periodicity is computed from the "bumpiness" of the autocorrelation of a one-bit version of the signal. We then describe a CMOS ASIC that implements the periodicity estimation algorithm. The ASIC is functional and its core consumes 835 nanowatts. It was integrated into an acoustic enclosure and deployed in field tests with synthesized sounds and ground-based vehicles. Fil: Goldberg, David H.. Johns Hopkins University; Estados Unidos Fil: Andreou, Andreas. Johns Hopkins University; Estados Unidos Fil: Julian, Pedro Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina Fil: Pouliquen, Philippe O.. Johns Hopkins University; Estados Unidos Fil: Riddle, Laurence. Signal Systems Corporation; Estados Unidos Fil: Rosasco, Rich. Signal Systems Corporation; Estados Unidos
- Subjects :
- Very-large-scale integration
Computer Networks and Communications
Computer science
business.industry
Autocorrelation
Detector
purl.org/becyt/ford/2.2 [https]
INGENIERÍAS Y TECNOLOGÍAS
Integrated circuit
Signal
Integrated Circuits
law.invention
purl.org/becyt/ford/2 [https]
Application-specific integrated circuit
law
Embedded system
Electronic engineering
Ingeniería Eléctrica y Electrónica
business
Wireless sensor network
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
Energy (signal processing)
Subjects
Details
- ISSN :
- 15504867 and 15504859
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- ACM Transactions on Sensor Networks
- Accession number :
- edsair.doi.dedup.....fd76e8d2ece73db23edb669de90f58be
- Full Text :
- https://doi.org/10.1145/1218556.1218562