Novel Equalization Techniques for OQPSK

dc.contributor.advisorSaquib, M.
dc.creatorAkbar, Md Navid
dc.date.accessioned2018-11-19T21:32:19Z
dc.date.available2018-11-19T21:32:19Z
dc.date.created2018-08
dc.date.issued2018-08
dc.date.submittedAugust 2018
dc.date.updated2018-11-19T21:32:19Z
dc.description.abstractIn this thesis, three different equalizers for the offset quadrature phase-shift keying (OQPSK) signaling are presented. At first, the use of a real-only equalizer (ROE) is proposed. ROE acts on real signals derived from the received OQPSK symbols. For the same fading channel, it is proven that both ROE and the popular widely linear equalizer (WLE) yield equivalent outputs, under both known and estimated channel state information. Hence, they exhibit the same performance. Presented complexity analysis finds that depending on the frame length, ROE can be computationally less complex, and save significant signal processing time over WLE. Secondly, implementation of ROE in the adaptive normalized least mean square (NLMS) is also designed. ROE in NLMS performs better with reduced complexity than its WLE counterpart, for a given number of pilot bits. Finally, a symbol spaced equalizer (SSE) is also developed under the widely linear criteria. Numerical studies indicate that it provides an identical performance, while operating at half the speed but with higher complexity compared to WLE.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10735.1/6313
dc.language.isoen
dc.rights©2018 The Author. Digital access to this material is made possible by the Eugene McDermott Library. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
dc.subjectEqualizers (Electronics)
dc.subjectComputational complexity
dc.subjectModulation (Electronics)
dc.subjectPhase shift keying
dc.titleNovel Equalization Techniques for OQPSK
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentElectrical Engineering
thesis.degree.grantorThe University of Texas at Dallas
thesis.degree.levelMasters
thesis.degree.nameMSEE

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