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Please use this identifier to cite or link to this item: http://hdl.handle.net/2005/595

Title: Acoustic Source Localization Using Time Delay Estimation
Authors: Tellakula, Ashok Kumar
Advisors: Mohanty, Atanu
Keywords: Acoustics - Data Processing
Time Delay Estimation
Acoustic Source Localization
Dominant Frequency Selection (DFSE) Algorithm
Microphones
Time Difference Of Arrival (TDOA)
16-Microphone Array
Submitted Date: Aug-2007
Series/Report no.: G21050
Abstract: The angular location of an acoustic source can be estimated by measuring an acoustic direction of incidence based solely on the noise produced by the source. Methods for determining the direction of incidence based on sound intensity, the phase of cross-spectral functions, and cross-correlation functions are available. In this current work, we implement Dominant Frequency SElection (DFSE) algorithm. Direction of arrival (DOA) estimation usingmicrophone arrays is to use the phase information present in signals from microphones that are spatially separated. DFSE uses the phase difference between the Fourier transformedsignals to estimate the direction ofarrival (DOA)and is implemented using a three-element ’L’ shaped microphone array, linear microphone array, and planar 16-microphone array. This method is based on simply locating the maximum amplitude from each of the Fourier transformed signals and thereby deriving the source location by solving the set of non-linear least squares equations. For any pair of microphones, the surface on whichthe time difference ofarrival (TDOA) is constant is a hyperboloidoftwo sheets. Acoustic source localization algorithms typically exploit this fact by grouping all microphones into pairs, estimating the TDOA of each pair, then finding the point where all associated hyperboloids most nearly intersect. We make use of both closed-form solutions and iterative techniques to solve for the source location.Acoustic source positioned in 2-dimensional plane and 3-dimensional space have been successfully located.
URI: http://hdl.handle.net/2005/595
Appears in Collections:Supercomputer Education and Research Centre (serc)

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