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Channel estimation techniques for OFDM systems in dispersive time-varying channels

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dc.contributor.author Song, Xuegui
dc.date.accessioned 2009-06-09T20:47:32Z
dc.date.available 2009-06-09T20:47:32Z
dc.date.copyright 2009 en
dc.date.issued 2009-06-09T20:47:32Z
dc.identifier.uri http://hdl.handle.net/2429/8897
dc.description.abstract Coherent modulation is more effective than differential modulation for orthogonal frequency division multiplexing (OFDM) systems requiring high data rate and spectral efficiency. Channel estimation is therefore an integral part of the receiver design. In this thesis, two iterative maximum likelihood based channel estimation algorithms are proposed for an OFDM system in dispersive time-varying channels. A multipath channel model is proposed for OFDM uplink transmission in macrocellular systems. The multipath fading channel is modeled such that the channel state can be determined by estimating the unknown channel parameters. A second-order Taylor series expansion is adopted to simplify the channel estimation problem. Based on the system model, an iterative maximum likelihood based algorithm is first proposed to estimate the discrete-time channel parameters. The mean square error performance of the proposed algorithm is analyzed using a small perturbation technique. Based on a convergence rate analysis, an improved iterative maximum likelihood based channel estimation algorithm is presented using a successive overrelaxation method. Numerical experiments are performed to confirm the theoretical analyses and show the improvement in convergence rate of the improved algorithm. en
dc.format.extent 629817 bytes
dc.format.mimetype application/pdf
dc.language.iso eng en
dc.publisher University of British Columbia
dc.relation.ispartof Electronic Theses and Dissertations (ETDs) 2008+ en
dc.title Channel estimation techniques for OFDM systems in dispersive time-varying channels en
dc.type Text
dc.degree.name Master of Applied Science - MASc en
dc.degree.discipline Electrical and Computer Engineering en
dc.degree.grantor University of British Columbia
dc.date.graduation 2009-11 en
dc.type.text Thesis/Dissertation en
dc.description.affiliation Applied Science, Faculty of
dc.degree.campus UBCO en
dc.description.scholarlevel Graduate en

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