Reduced Rank Algorithms for Wireless Space-Time Channels

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dc.citation.bibtexNamemiscen_US
dc.citation.journalTitleELEC 599 Project Reporten_US
dc.contributor.authorNdili, Obianujuen_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:54:57Z
dc.date.available2007-10-31T00:54:57Z
dc.date.issued2000-05-20
dc.date.modified2002-12-12en_US
dc.date.submitted2002-10-30en_US
dc.descriptionElec 599 Project Reporten_US
dc.description.abstractThe 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.en_US
dc.identifier.citationO. Ndili, "Reduced Rank Algorithms for Wireless Space-Time Channels," <i>ELEC 599 Project Report,</i> 2000.
dc.identifier.urihttps://hdl.handle.net/1911/20131
dc.language.isoeng
dc.subjectchannel estimation*
dc.subjectalgorithm*
dc.subjectspace-time*
dc.subjectwireless*
dc.subject.keywordchannel estimationen_US
dc.subject.keywordalgorithmen_US
dc.subject.keywordspace-timeen_US
dc.subject.keywordwirelessen_US
dc.titleReduced Rank Algorithms for Wireless Space-Time Channelsen_US
dc.typeReport
dc.type.dcmiText
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