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A self-calibrating distributed acoustic sensing platform
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Source Conference On Embedded Networked Sensor Systems archive
Proceedings of the 4th international conference on Embedded networked sensor systems table of contents
Boulder, Colorado, USA
DEMONSTRATION SESSION: Demonstration papers table of contents
Pages: 335 - 336  
Year of Publication: 2006
ISBN:1-59593-343-3
Authors
Lewis Girod  Massachusetts Institute of Technology
Martin Lukac  University of California, Los Angeles
Vlad Trifa  University of California, Los Angeles
Deborah Estrin  University of California, Los Angeles
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCOMM: ACM Special Interest Group on Data Communication
SIGOPS: ACM Special Interest Group on Operating Systems
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
ACM: Association for Computing Machinery
SIGBED: ACM Special Interest Group on Embedded Systems
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
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ABSTRACT

We will demonstrate the operation of the Acoustic Embedded Networked Sensing Box (ENSBox), a platform for prototyping rapid-deployable distributed acoustic sensing systems. The ENSBox is a Linux-based acoustic sensing system with and integrated, high precision self-calibration facility sets it apart from other platforms. This selfcalibration is precise enough to support acoustic source localization applications in complex, realistic environments: e.g., 5 cm average 2D position error and 1.5 degree average orientation error over a 80x50 m outdoor area.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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L. Girod., J. Elson, A. Cerpa, T. Stathopoulos, N. Ramanathan, and D. Estrin. Emstar: a software environment for developing and deploying wireless sensor networks. In USENIX, 2004.
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H. Wang, C.-E. Chen, A. Ali, S. Asgari, R.E. Hudson, K. Yao, D. Estrin, and C. Taylor. Acoustic sensor networks for woodpecker localization. In SPIE Conference on Advanced Signal Processing Algorithms, Architectures and Implementations, Aug. 2005.
 
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K. Yao, R. Hudson, C. Reed, D. Chen, and F. Lorenzelli. Blind beamforming on a randomly distributed sensor array system. IEEE JSAC, 16(8), Oct. 1998.

Collaborative Colleagues:
Lewis Girod: colleagues
Martin Lukac: colleagues
Vlad Trifa: colleagues
Deborah Estrin: colleagues