- -

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

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

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

Show simple item record

Files in this item

dc.contributor.author García Ariza, Alexis Paolo es_ES
dc.contributor.author Rubio Arjona, Lorenzo es_ES
dc.date.accessioned 2014-06-03T18:14:18Z
dc.date.issued 2011-10
dc.identifier.issn 1089-7798
dc.identifier.uri http://hdl.handle.net/10251/37904
dc.description.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 when the number of antennas elements increases. In this letter, an enhancement technique to solve the problem of non-positiveness for large experimental FSC matrices is proposed. This technique, based on the alternating-projection (AP) method, computes the closest positive definite matrix to the experimental FSC matrix preserving its covariance structure. The proposed technique is useful to evaluate the performance of large array MIMO systems under realistic conditions, allowing the Cholesky factorization of FSC matrices, which is needed for synthetic channel generation. © 2006 IEEE. es_ES
dc.description.sponsorship 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 Valenciana (Project No. GV06/076), Spain. en_EN
dc.format.extent 3 es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation.ispartof IEEE Communications Letters es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Alternating projection method es_ES
dc.subject Cholesky factorization es_ES
dc.subject Correlation matrices es_ES
dc.subject Eigenvalues es_ES
dc.subject MIMO es_ES
dc.subject Positive definite matrices es_ES
dc.subject Synthetic MIMO channels es_ES
dc.subject Wireless channels es_ES
dc.subject Cholesky factorizations es_ES
dc.subject Positive-definite matrices es_ES
dc.subject Covariance matrix es_ES
dc.subject Eigenvalues and eigenfunctions es_ES
dc.subject Factorization es_ES
dc.subject MIMO systems es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Computing the closest positive definite correlation matrix for experimental MIMO cannel analysis es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1109/LCOMM.2011.080811.102574
dc.relation.projectID info:eu-repo/grantAgreement/EC/AlBan/E04D044088CO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV06%2F076/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation 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. https://doi.org/10.1109/LCOMM.2011.080811.102574 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/LCOMM.2011.080811.102574 es_ES
dc.description.upvformatpinicio 1038 es_ES
dc.description.upvformatpfin 1040 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 10 es_ES
dc.relation.senia 215743
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder European Commission es_ES


This item appears in the following Collection(s)

Show simple item record