Joint Detection Strategies for Orthogonal Frequency Division Multiplexing

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dc.citation.bibtexNamemastersthesisen_US
dc.citation.journalTitleMasters Thesisen_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.creatorAhmed, Nadeem
dc.date.accessioned2007-10-31T00:33:26Z
dc.date.available2007-10-31T00:33:26Z
dc.date.issued2000-04-20
dc.date.modified2003-07-12en_US
dc.date.submitted2002-10-30en_US
dc.descriptionMasters Thesisen_US
dc.description.abstractTraditional OFDM implementations use conventional Fourier filters for data modulation, via the IFFT operation. Much research suggests wavelet based OFDM provides performance gains, due to superior spectral containment properties of wavelet filters. When compared in simulation, neither system was found fundamentally better than the other. Rather than focus on filter bank design, <i>joint detection strategies</i> provide a relatively simple method for improving system performance. The conventional matched filter used in OFDM systems, is only optimal when the channel introduces no carrier distoration. We propose an optimal detector, which maximizes the probability of making correct decisions, and a suboptimal method which decorrelates carriers based on knowledge of the channel. Both joint detection methods provide significant performance gains in OFDM systems over conventional matched filtering.en_US
dc.identifier.citation "Joint Detection Strategies for Orthogonal Frequency Division Multiplexing," <i>Masters Thesis,</i> 2000.
dc.identifier.urihttps://hdl.handle.net/1911/19657
dc.language.isoeng
dc.subjectOFDM*
dc.subjectjoint detection strategies*
dc.subjectFourier fileters*
dc.subjectorthogonal frequency division multiplexing*
dc.subject.keywordOFDMen_US
dc.subject.keywordjoint detection strategiesen_US
dc.subject.keywordFourier filetersen_US
dc.subject.keywordorthogonal frequency division multiplexingen_US
dc.titleJoint Detection Strategies for Orthogonal Frequency Division Multiplexingen_US
dc.typeThesis
dc.type.dcmiText
thesis.degree.levelMasters
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