Classification and Parameter Estimation of Asynchronously Received PSK/QAM Modulated Signals in Flat-Fading Channels

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dc.contributor.authorHeadley, William C.en
dc.contributor.committeechairda Silva, Claudio R. C. M.en
dc.contributor.committeememberBuehrer, R. Michaelen
dc.contributor.committeememberMacKenzie, Allen B.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:36:05Zen
dc.date.adate2009-05-29en
dc.date.available2014-03-14T20:36:05Zen
dc.date.issued2009-04-30en
dc.date.rdate2009-05-29en
dc.date.sdate2009-05-10en
dc.description.abstractOne of the fundamental hurdles in realizing new spectrum sharing allocation policies is that of reliable spectrum sensing. In this thesis, three research thrusts are presented in order to further research in this critical area. The first of these research thrusts is the development of a novel asynchronous and noncoherent modulation classifier for PSK/QAM modulated signals in flat-fading channels. In developing this classifier, a novel estimator for the unknown channel gain and fractional time delay is proposed which uses a method-of-moments based estimation approach. For the second research thrust of this thesis, the developed method-of-moments based estimation approach is extended to estimate the signal-to-noise ratio of PSK/QAM modulated signals in flat-fading channels, in which no a priori knowledge of the modulation format and channel parameters is assumed. Finally, in the third research thrust, a distributed spectrum sensing approach is proposed in which a network of radios collaboratively detects the presence, as well as the modulation scheme, of a signal through the use of a combination of cyclic spectrum feature-based signal classification and an iterative algorithm for optimal data fusion.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-05102009-034303en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05102009-034303/en
dc.identifier.urihttp://hdl.handle.net/10919/32519en
dc.publisherVirginia Techen
dc.relation.haspartWilliamHeadleyMastersThesis.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectasynchronous classification and estimationen
dc.subjectspectrum sensingen
dc.subjectSNR estimationen
dc.subjectdistributed detectionen
dc.subjectmodulation classificationen
dc.titleClassification and Parameter Estimation of Asynchronously Received PSK/QAM Modulated Signals in Flat-Fading Channelsen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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