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dc.contributor.advisorChairperson, Graduate Committee: Richard Wolff.en
dc.contributor.authorTidd, William Graves.en
dc.date.accessioned2013-06-25T18:36:53Z
dc.date.available2013-06-25T18:36:53Z
dc.date.issued2011en
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/2428
dc.description.abstractThis thesis proposes a design of a novel and innovative sequential beamspace (SBS) smart antenna system. The system is capable of accurate direction of arrival (DOA) estimation in beamspace and efficient beamforming. Moreover, the robust functionality of such a system includes high resolution radio frequency (RF) emitter DOA estimation and beamforming in a noisy environment in the presence of strong interference. Simulations for DOA estimation using beamspace MUSIC and beamspace Capon methods are presented in conjunction with Capon beamforming. These methods are compared and contrasted with proven element space DOA estimation techniques to demonstrate the validity and advantages of pursuing a SBS smart antenna for real-world applications. The beamspace DOA estimation accuracy, resolution, beamforming pattern, and output signal quality have been thoroughly studied and quantified. The algorithms have been tailored to utilize an 8 element uniform circular array (UCA) and an 8 channel analog beamformer (BF) operating at 5.8 GHz to gather lab-based experimental results. The simulations and experimental results show that the proposed system can achieve good performance once it is properly synchronized using a time delay correction filter. In addition, a significant decrease in hardware is realized when operating in beamspace versus element space.en
dc.language.isoengen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.subject.lcshAntennas (Electronics).en
dc.subject.lcshBeamforming.en
dc.titleSequential beamspace smart antenna system
dc.typeThesis
dc.rights.holderCopyright William Graves Tidd 2011en
thesis.catalog.ckey1721819en
thesis.degree.committeemembersMembers, Graduate Committee: Yikun Huang; Brock LaMeres; Andy Olsonen
thesis.degree.departmentElectrical & Computer Engineering.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage127en
mus.identifier.categoryEngineering & Computer Science
mus.relation.departmentElectrical & Computer Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US


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