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Space-Time Multiuser Detection For Wireless CDMA Communication Systems

Posted on:2002-03-01Degree:DoctorType:Dissertation
Country:ChinaCandidate:Q ChenFull Text:PDF
GTID:1118360065961506Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Multiple access interference (MAI) and multipath fading are two major factors limiting performances of CDMA communication systems. In this dissertation, multiuser detection and space-time processing are combined to suppress multiple access interferences and inter-symbol interferences (ISI) jointly in multipah fading channels with large delay spread. This dissertation is outlined as follows.In Chapter One, the present studies on multiuser detection and space-time processing in wireless CDMA communications are reviewed.In Chapter Two, a structured space-time multiuser CDMA signal model is built as the basis of the whole research, combing space-time channel models and multirate /multichannel CDMA signal models.In Chapter Three, the optimal space-time multiuser CDMA system and its implementation are studied based on the structured space-time multiuser CDMA signal model.In Chapter Four, sufficient conditions for existence of FIR space-time decorrelating receivers are analyzed and the optimal designs are studied with different optimal criteria.In Chapter Five, the minimum variance blind space-time multiuser detection is studied in multipath channels. The generalized canonical presentation is proposed, with which space-time channel estimation and interference suppression can be implemented jointly. Furthermore, residual interference is analyzed.In Chapter Six, Principal Component, Cross-Spectral Metric, Auxiliary-Vector Filtering and Multistage Wiener Filtering are applied to study low-rank blind space-time multiuser detection with the generalized canonical representation in multipath channels.In Chapter Seven, all the studies in this dissertation are summarized and the future directions are discussed.
Keywords/Search Tags:CDMA, MAI, mulipath fading, multiuser detection, space-time processing, minimum variance criteria, low-rank processing
PDF Full Text Request
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