Adaptive Beamforming using ICA for Target Identification in Noisy Environments

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dc.contributor.authorWiltgen, Timothy Edwarden
dc.contributor.committeechairRoan, Michael J.en
dc.contributor.committeememberCarneal, James P.en
dc.contributor.committeememberFuller, Christopher R.en
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2014-03-14T20:38:17Zen
dc.date.adate2007-05-23en
dc.date.available2014-03-14T20:38:17Zen
dc.date.issued2007-05-09en
dc.date.rdate2007-05-23en
dc.date.sdate2007-05-22en
dc.description.abstractThe blind source separation problem has received a great deal of attention in previous years. The aim of this problem is to estimate a set of original source signals from a set of linearly mixed signals through any number of signal processing techniques. While many methods exist that attempt to solve the blind source separation problem, a new technique is being used that uniquely separates audio sources as they are received from a microphone array. In this thesis a new algorithm is proposed that that utilizes the ICA algorithm in conjunction with a filtering technique that separates source signals and then removes sources of interference so that a signal of interest can be accurately tracked. Experimental results will compare a common blind source separation technique to the new algorithm and show that the new algorithm can detect a signal of interest and accurately track it as it moves through an anechoic environment.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-05222007-102626en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05222007-102626/en
dc.identifier.urihttp://hdl.handle.net/10919/33118en
dc.publisherVirginia Techen
dc.relation.haspartWiltgen_TimothyE_Masters_Thesis_ME_Dept.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectWiener Filteren
dc.subjectICAen
dc.subjectMVDRen
dc.subjectMicrophone Arrayen
dc.subjectAdaptive Beamformingen
dc.titleAdaptive Beamforming using ICA for Target Identification in Noisy Environmentsen
dc.typeThesisen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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