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dc.contributor.advisorHo, Dominic K. C.eng
dc.contributor.authorVicente, Luis M., 1964-eng
dc.date.issued2009eng
dc.date.submitted2009 Springeng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on September 10, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisor: Dr. K. C. Ho.eng
dc.descriptionVita.eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionPh. D. University of Missouri--Columbia 2009.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Electrical engineering.eng
dc.description.abstractThis thesis introduces new methods for partial adaptive beamforming using concentric ring and spherical arrays for acoustic signals on a partially known interference environment. We propose novel methods to choose intra-ring weights that take advantage of the prior knowledge about the characteristics of some of the interferences without reducing the beamformer's degrees of freedom. The appropriate amount of prior knowledge included in the design is in the form of a penalty factor value. The inter-ring weights are adaptively obtained to cancel the unknown interferences. Then, we propose the optimization of the penalty factor that is automatically obtained to minimize the amount of residual error in the beamformer output. We propose the novel idea of combining element space along with beamspace beamforming techniques, where the prior knowledge is added in form of beamspace beams pointing towards the interferences with known characteristics. The sub-arrays that use element space beamforming reduce the interferences with unknown characteristics. The beamformer is found to be robust against interference uncertainties and presents a consistent behavior. We then extend the element space partial adaptive beamformer to the spherical array. We suggest two novel sensor arrangements for narrowband partial adaptive beamforming. The proposed design achieves huge computational savings, faster convergence and similar performance than that of the fully adaptive beamformer. We present the design of a broadband beamformer using array nesting. Finally, we introduce two robust algorithms against sensor misplacement. The proposed algorithms use a better distortionless constraint that accounts for the sensor position errors, contrary to the classical constraint, which does not include the errors.eng
dc.format.extentxviii, 206 pageseng
dc.identifier.oclc695126028eng
dc.identifier.urihttp://hdl.handle.net/10355/9568eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartof2009 Freely available dissertations (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Dissertations. 2009 Dissertationseng
dc.subject.lcshBeamformingeng
dc.subject.lcshAdaptive signal processingeng
dc.subject.lcshArray processorseng
dc.titleAdaptive array signal processing using the concentric ring array and the spherical arrayeng
dc.typeThesiseng
thesis.degree.disciplineElectrical engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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