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Proceedings Paper

Multisource passive acoustic tracking: an application of random finite set data fusion
Author(s): Andreas M. Ali; Ralph E. Hudson; Flavio Lorenzelli; Kung Yao
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Paper Abstract

Multisource passive acoustic tracking is useful in animal bio-behavioral study by replacing or enhancing human involvement during and after field data collection. Multiple simultaneous vocalizations are a common occurrence in a forest or a jungle, where many species are encountered. Given a set of nodes that are capable of producing multiple direction-of-arrivals (DOAs), such data needs to be combined into meaningful estimates. Random Finite Set provides the mathematical probabilistic model, which is suitable for analysis and optimal estimation algorithm synthesis. Then the proposed algorithm has been verified using a simulation and a controlled test experiment.

Paper Details

Date Published: 27 April 2010
PDF: 8 pages
Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76970J (27 April 2010); doi: 10.1117/12.850372
Show Author Affiliations
Andreas M. Ali, Univ. of California, Los Angeles (United States)
Ralph E. Hudson, Univ. of California, Los Angeles (United States)
Flavio Lorenzelli, Univ. of California, Los Angeles (United States)
Kung Yao, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 7697:
Signal Processing, Sensor Fusion, and Target Recognition XIX
Ivan Kadar, Editor(s)

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