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dc.contributor.advisorSerpedin, Erchin
dc.creatorSarvepalli, Pradeep Kiran
dc.date.accessioned2004-09-30T01:54:42Z
dc.date.available2004-09-30T01:54:42Z
dc.date.created2003-08
dc.date.issued2004-09-30
dc.identifier.urihttps://hdl.handle.net/1969.1/360
dc.description.abstractWe propose to develop new non-data aided (NDA) digital feedforward symbol timing estimators for linear and nonlinear modulations, with a view to reducing the sampling rate of the estimators. The proposed estimators rely on the fact that sufficient statistics exist for a signal sampled at the Nyquist rate. We propose an ad hoc extension to the timing estimator based on the log nonlinearity which performs better than existing estimators at this rate when the operating signal-to-noise ratio (SNR) and the excess bandwidth are low. We propose another alternative estimator for operating at the Nyquist rate that has reduced self-noise at high SNR for large rolloff factors. This can be viewed as an extension of the timing estimator based on the square law nonlinearity. For continuous phase modulations (CPM), we propose two novel estimators that can operate at the symbol rate for MSK type signals. Among the class of NDA feedforward timing estimators we are not aware of any other estimator that can function at symbol rate for this type of signals. We also propose several new estimators for the MSK modulation scheme which operate with reduced sampling rate and are robust to carrier frequency offset and phase offset.en
dc.format.extent512233 bytesen
dc.format.extent84966 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjecttiming recoveryen
dc.subjectfeedforwarden
dc.subjectNDAen
dc.subjectsymbol-rateen
dc.subjectcyclostationaryen
dc.subjectself-noiseen
dc.subjectprefilteren
dc.titleNon-data aided digital feedforward timing estimators for linear and nonlinear modulationsen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentElectrical Engineeringen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberMiller, Scott L.
dc.contributor.committeeMemberFriesen, Donald K.
dc.contributor.committeeMemberSilva-Martinez, Jose
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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