Automatic Acoustic Localization in Sensor Networks Using Environmental Natural Acoustic Phenomena

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Abrahimi Saba, Amin Reza | 2009

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 39474 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Abolhassani, Hassan
Abstract:
We propose a range-free localization framework in which a network of randomly deployed acoustic sensors can passively use natural acoustic phenomena within its environment to localize itself. We introduce a novel approach for registration of sensors observations which takes advantage of a clustering technique on triplets of associated observations. A Bayesian filtering method is employed to incrementally improve system state estimation as more observations become available. To the best of our knowledge this is the first work done on range-free passive acoustic localization. Furthermore, we have proposed a simple but effective and efficient acoustic detection method which can be used to extract acoustic events against the noise background in the environment. Simulation experiments as well as small-scale physical experiments demonstrate the liability of the proposed algorithms
Keywords:
Sensor Network ; Location ; Detecting Voice ; Parallel Processing ; Bayesian Filtering

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