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dc.contributor.authorNdili, Obianuju
dc.creatorNdili, Obianuju 2007-10-31T00:54:57Z 2007-10-31T00:54:57Z 2000-05-20 2002-10-30
dc.description Elec 599 Project Report
dc.description.abstract The estimation of channel coefficients constitutes a major function of the receiver. It is also an important step in the signal detection process at the receiver, in a wireless communication system. To describe the space-time channel from multiple transmitters to a single receiver, many parameters are required. This means that in order to perform channel estimation and signal detection, the order P say, of the required filter will be very large. Since the channel is time varying thus the filter adaptive, a large P implies a slow response to changing channel conditions. This is one motivation for reduced-rank adaptive filtering. In this project, several aspects of space-time channel parameter estimation, and signal detection, are examined. Three methods have been studied. A maximum likelihood channel estimation method and two different subspace-based, reduced-rank methods - the "cross-spectral" method and the "residual correlations" method.
dc.language.iso eng
dc.subjectchannel estimation
dc.title Reduced Rank Algorithms for Wireless Space-Time Channels
dc.type Report
dc.citation.bibtexName misc
dc.citation.journalTitle ELEC 599 Project Report 2002-12-12
dc.contributor.orgCenter for Multimedia Communications (
dc.subject.keywordchannel estimation
dc.type.dcmi Text
dc.identifier.citation O. Ndili, "Reduced Rank Algorithms for Wireless Space-Time Channels," ELEC 599 Project Report, 2000.

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  • ECE Publications [1074]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • CMC Publications [275]
    Publications by Rice Faculty and graduate students in multimedia communications

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