Paper
27 May 2005 A miniature low-power intelligent sensor node for persistent acoustic surveillance
Gert Cauwenberghs, Andreas Andreou, Jim West, Milutin Stanacevic, Abdullah Celik, Pedro Julian, Thiago Teixeira, Chris Diehl, Laurence Riddle
Author Affiliations +
Abstract
The desire for persistent, long term surveillance and covertness places severe constraints on the power consumption of a sensor node. To achieve the desired endurance while minimizing the size of the node, it is imperative to use application-specific integrated circuits (ASICs) that deliver the required performance with maximal power efficiency while minimizing the amount of communication bandwidth needed. This paper reviews our ongoing effort to integrate several micropower devices for low-power wake-up detection, blind source separation and localization and pattern classification, and demonstrate the utility of the system in relevant surveillance applications. The capabilities of each module are presented in detail along with performance statistics measured during recent experiments.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gert Cauwenberghs, Andreas Andreou, Jim West, Milutin Stanacevic, Abdullah Celik, Pedro Julian, Thiago Teixeira, Chris Diehl, and Laurence Riddle "A miniature low-power intelligent sensor node for persistent acoustic surveillance", Proc. SPIE 5796, Unattended Ground Sensor Technologies and Applications VII, (27 May 2005); https://doi.org/10.1117/12.606859
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CITATIONS
Cited by 18 scholarly publications.
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KEYWORDS
Acoustics

Sensors

Independent component analysis

Surveillance

Very large scale integration

Target detection

Intelligent sensors

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