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dc.contributor.authorChiang, Chin-Teen_US
dc.contributor.authorFung, Carrson C.en_US
dc.date.accessioned2014-12-08T15:38:04Z-
dc.date.available2014-12-08T15:38:04Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-6404-3en_US
dc.identifier.issn1550-3607en_US
dc.identifier.urihttp://hdl.handle.net/11536/26109-
dc.description.abstractA robust superimposed training sequence design is proposed for spatially correlated MIMO channel estimation. The proposed scheme does not require accurate knowledge about the spatial correlation matrix and it is shown to outperform robust correlated MIMO channel estimators such as relaxed MMSE (RMMSE) and least-squares-RMMSE (LSRMMSE). Since the training sequence is overlaid into the data stream, spectral efficiency of the system is higher than those that use time-multiplex pilots. A solution for the sequence can be obtained easily by using an iterative algorithm which is guaranteed to converge as long as the training sequence matrix is initialized to have full rank.en_US
dc.language.isoen_USen_US
dc.subjectMIMOen_US
dc.subjectspatial correlationen_US
dc.subjectsuperimposed training sequenceen_US
dc.subjectrobust channel estimationen_US
dc.subjectaffine precoderen_US
dc.titleRobust Training Sequence Design for Spatially Correlated MIMO Channel Estimation Using Affine Precoderen_US
dc.typeArticleen_US
dc.identifier.journal2010 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONSen_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000290335603119-
Appears in Collections:Conferences Paper