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Computing the closest positive definite correlation matrix for experimental MIMO cannel analysis

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Computing the closest positive definite correlation matrix for experimental MIMO cannel analysis

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García Ariza, AP.; Rubio Arjona, L. (2011). Computing the closest positive definite correlation matrix for experimental MIMO cannel analysis. IEEE Communications Letters. 15(10):1038-1040. doi:10.1109/LCOMM.2011.080811.102574

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/37904

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Title: Computing the closest positive definite correlation matrix for experimental MIMO cannel analysis
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
Under realistic propagation conditions in multiple-input-multiple-output (MIMO) wireless channels, some experimental (measured) full-spatial-correlation (FSC) MIMO channel matrices may not be positive definite, especially ...[+]
Subjects: Alternating projection method , Cholesky factorization , Correlation matrices , Eigenvalues , MIMO , Positive definite matrices , Synthetic MIMO channels , Wireless channels , Cholesky factorizations , Positive-definite matrices , Covariance matrix , Eigenvalues and eigenfunctions , Factorization , MIMO systems
Copyrigths: Cerrado
Source:
IEEE Communications Letters. (issn: 1089-7798 )
DOI: 10.1109/LCOMM.2011.080811.102574
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publisher version: http://dx.doi.org/10.1109/LCOMM.2011.080811.102574
Thanks:
This work was supported in part by the AlBan Programme, the European Union Programme of High Level Scholarships for Latin America, scholarship No. E04D044088CO, and in part by the Research Support Programme of the Generalitat ...[+]
Type: Artículo

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