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Proceedings Paper

Acoustic sensor networks for woodpecker localization
Author(s): H. Wang; C. E. Chen; A. Ali; S. Asgari; R. E. Hudson; K. Yao; D. Estrin; C. Taylor
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Paper Abstract

Sensor network technology can revolutionize the study of animal ecology by providing a means of non-intrusive, simultaneous monitoring of interaction among multiple animals. In this paper, we investigate design, analysis, and testing of acoustic arrays for localizing acorn woodpeckers using their vocalizations. Each acoustic array consists of four microphones arranged in a square. All four audio channels within the same acoustic array are finely synchronized within a few micro seconds. We apply the approximate maximum likelihood (AML) method to synchronized audio channels of each acoustic array for estimating the direction-of-arrival (DOA) of woodpecker vocalizations. The woodpecker location is estimated by applying least square (LS) methods to DOA bearing crossings of multiple acoustic arrays. We have revealed the critical relation between microphone spacing of acoustic arrays and robustness of beamforming of woodpecker vocalizations. Woodpecker localization experiments using robust array element spacing in different types of environments are conducted and compared. Practical issues about calibration of acoustic array orientation are also discussed.

Paper Details

Date Published: 16 September 2005
PDF: 12 pages
Proc. SPIE 5910, Advanced Signal Processing Algorithms, Architectures, and Implementations XV, 591009 (16 September 2005); doi: 10.1117/12.617983
Show Author Affiliations
H. Wang, UCLA (United States)
C. E. Chen, UCLA (United States)
A. Ali, UCLA (United States)
S. Asgari, UCLA (United States)
R. E. Hudson, UCLA (United States)
K. Yao, UCLA (United States)
D. Estrin, UCLA (United States)
C. Taylor, UCLA (United States)


Published in SPIE Proceedings Vol. 5910:
Advanced Signal Processing Algorithms, Architectures, and Implementations XV
Franklin T. Luk, Editor(s)

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