Joint detection strategies for orthogonal frequency division multiplexing

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dc.contributor.advisorBaraniuk, Richard G.
dc.creatorAhmed, Nadeem
dc.date.accessioned2009-06-04T08:25:35Z
dc.date.available2009-06-04T08:25:35Z
dc.date.issued2000
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, joint detection strategies 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.
dc.format.extent51 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 2000 AHMED
dc.identifier.citationAhmed, Nadeem. "Joint detection strategies for orthogonal frequency division multiplexing." (2000) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17318">https://hdl.handle.net/1911/17318</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17318
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.titleJoint detection strategies for orthogonal frequency division multiplexing
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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