{"id":{"repo_id":"vu-aus","oai_identifier":"oai:eprints.vu.edu.au:531"},"canonical_url":"https://search.dev.ndltd.org/etd/vu-aus/oai:eprints.vu.edu.au:531","repository":{"repo_id":"vu-aus","name":"Victoria University (Australia)","base_url":"https://vuir.vu.edu.au/cgi/oai2"},"display":{"title":"A Study of Wireless Modem Performance Using Multiple Element Antennas","abstract":"Next generation wireless modems are likely to be based on multiple antenna hardware platforms, following the demand for high data rate. In correlated channels Channel State Information (CSI) at the transmitter provides a significant capacity increase over conventional Multiple Input Multiple Output (MIMO) systems. In such a case, the Singular Value Decomposition (SVD) of the channel matrix gives the optimal precoder and decoder. This thesis studies the performance of the SVD architecture under varying propagation environments, as well as its robustness to various impairments, e.g. incorrect channel estimation, hardware errors. The aim is to provide a comprehensive understanding of the advantages and weaknesses of the SVD-based transmission architecture.","abstract_html":"Next generation wireless modems are likely to be based on multiple antenna hardware platforms, following the demand for high data rate. In correlated channels Channel State Information (CSI) at the transmitter provides a significant capacity increase over conventional Multiple Input Multiple Output (MIMO) systems. In such a case, the Singular Value Decomposition (SVD) of the channel matrix gives the optimal precoder and decoder. This thesis studies the performance of the SVD architecture under varying propagation environments, as well as its robustness to various impairments, e.g. incorrect channel estimation, hardware errors. 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In correlated channels Channel State Information (CSI) at the transmitter provides a significant capacity increase over conventional Multiple Input Multiple Output (MIMO) systems. In such a case, the Singular Value Decomposition (SVD) of the channel matrix gives the optimal precoder and decoder. This thesis studies the performance of the SVD architecture under varying propagation environments, as well as its robustness to various impairments, e.g. incorrect channel estimation, hardware errors. The aim is to provide a comprehensive understanding of the advantages and weaknesses of the SVD-based transmission architecture."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["A Study of Wireless Modem Performance Using Multiple Element Antennas"]}]}],"canonical_facts":{"dc:creator":["Lebrun, Guillaume"],"dc:date":["2004"],"dc:date.issued":["2004"],"dc:description.abstract":["Next generation wireless modems are likely to be based on multiple antenna hardware platforms, following the demand for high data rate. In correlated channels Channel State Information (CSI) at the transmitter provides a significant capacity increase over conventional Multiple Input Multiple Output (MIMO) systems. In such a case, the Singular Value Decomposition (SVD) of the channel matrix gives the optimal precoder and decoder. 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