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dc.creatorPei, Ying
dc.date.accessioned2012-06-07T22:57:12Z
dc.date.available2012-06-07T22:57:12Z
dc.date.created1999
dc.date.issued1999
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-1999-THESIS-P45
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 56-59).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractPower control is used in the reversed link to reduce the near-far problem in multi-user code division multiple access (CDMA) systems. Power estimation is one of the key aspects of the power control scheme. We compare and evaluate three power estimation techniques, the expectation maximization (EM) algorithm, the decorrelating estimator and the averaging method, on both AWGN and Rayleigh fading channels. The implementation of the EM algorithm on TMS320C62 is also presented. The performance is compared by using extensive simulation results in a number of parameters, such as mean square error (MSE), signal-to-noise ratio (SNR), the number of users, the interference to signal ratio, and Doppler spread. The EM algorithm has the best overall performance and can be implemented in real-time systems.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectelectrical engineering.en
dc.subjectMajor electrical engineering.en
dc.titleAnalysis of power estimation techniques in CDMA systemsen
dc.typeThesisen
thesis.degree.disciplineelectrical engineeringen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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