Transceiver design for efficient channel estimation in MIMO OFDM systems

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dc.contributor.advisorSabharwal, Ashutosh
dc.creatorLou, Feifei
dc.date.accessioned2009-06-04T08:04:30Z
dc.date.available2009-06-04T08:04:30Z
dc.date.issued2006
dc.description.abstractIn this thesis, we first compare the least squares (LS) channel estimation performance in terms of mean squared error (MSE) with the perfect knowledge of channel length L versus the estimation without the knowledge of L. This comparison motivates us to estimate the channel in two steps by exploiting the instantaneous delay spread. We show that the channel estimation performance can be improved by 5 dB even in the presence of channel mismatch. Then we propose the optimal training sequence which achieves not only the minimum MSE of LS channel estimation, but also the minimum peak-to-average power ratio (PAPR) at transmitter with a low computational complexity. Finally we describe all the necessary synchronization functions and FPGA implementation in the SISO OFDM receiver. And this receiver serves as the foundation to build up a wireless testbed to verify the new algorithms.
dc.format.extent66 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 2006 LOU
dc.identifier.citationLou, Feifei. "Transceiver design for efficient channel estimation in MIMO OFDM systems." (2006) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17893">https://hdl.handle.net/1911/17893</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17893
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.titleTransceiver design for efficient channel estimation in MIMO OFDM systems
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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