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dc.contributor.advisorMohanty, Atanu
dc.contributor.authorTellakula, Ashok Kumar
dc.date.accessioned2009-08-19T06:26:54Z
dc.date.accessioned2018-07-31T05:08:47Z
dc.date.available2009-08-19T06:26:54Z
dc.date.available2018-07-31T05:08:47Z
dc.date.issued2009-08-19T06:26:54Z
dc.date.submitted2007-08
dc.identifier.urihttp://etd.iisc.ac.in/handle/2005/595
dc.description.abstractThe 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.en
dc.language.isoen_USen
dc.relation.ispartofseriesG21050en
dc.subjectAcoustics - Data Processingen
dc.subjectTime Delay Estimationen
dc.subjectAcoustic Source Localizationen
dc.subjectDominant Frequency Selection (DFSE) Algorithmen
dc.subjectMicrophonesen
dc.subjectTime Difference Of Arrival (TDOA)en
dc.subject16-Microphone Arrayen
dc.subject.classificationAcousticsen
dc.titleAcoustic Source Localization Using Time Delay Estimationen
dc.typeThesisen
dc.degree.nameMSc Enggen
dc.degree.levelMastersen
dc.degree.disciplineFaculty of Engineeringen


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