Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments

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dc.contributor.authorDavis, Joseph M.en
dc.contributor.committeecochairMcGwier, Robert W.en
dc.contributor.committeememberClancy, Thomas Charles IIIen
dc.contributor.committeememberDietrich, Carl B.en
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2014-04-10T12:29:34Zen
dc.date.available2014-04-10T12:29:34Zen
dc.date.issued2013-12-05en
dc.description.abstractSpectral coexistence and cooperative spectrum sharing techniques are vital to the continued development and proliferation of wireless communications systems. Government directives indicate that certain frequency bands which once were reserved for radar-only applications must now support wireless broadband systems. The effect of co-site interference upon detection techniques for wireless broadband systems is evaluated. Cyclostationary feature based detection methods are evaluated against gaussian noise and interfering radar signals. Alternative decision algorithms utilizing support vector machines are proposed and evaluated and compared against traditional general likelihood ratio test algorithms. Recommendations for certain algorithms and observation window lengths to maximize e ectiveness and minimize computational complexity are developed.en
dc.description.degreeMaster of Scienceen
dc.description.sponsorshipOffice of Naval Research grant N00014-12-1-0062 and contract N00014-12-C-0702en
dc.identifier.urihttp://hdl.handle.net/10919/47105en
dc.language.isoen_USen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectWiMAXen
dc.subjectOFDMen
dc.subjectCyclostationary Detectionen
dc.subjectSVMen
dc.titleSecond-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environmentsen
dc.typeThesisen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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