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Improved Maximum Likelihood Detection through Sphere Decoding combined with Box Optimization

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Improved Maximum Likelihood Detection through Sphere Decoding combined with Box Optimization

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dc.contributor.author García Mollá, Víctor Manuel es_ES
dc.contributor.author Vidal Maciá, Antonio Manuel es_ES
dc.contributor.author González Salvador, Alberto es_ES
dc.contributor.author Roger Varea, Sandra es_ES
dc.date.accessioned 2015-04-29T08:09:51Z
dc.date.available 2015-04-29T08:09:51Z
dc.date.issued 2014-05
dc.identifier.issn 0165-1684
dc.identifier.uri http://hdl.handle.net/10251/49446
dc.description this is the author’s version of a work that was accepted for publication in Signal Processing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Signal Processing, [VOL 98, may 14] DOI 10.1016/j.sigpro.2013.11.041 es_ES
dc.description.abstract Sphere Decoding is a popular Maximum Likelihood algorithm that can be used to detect signals coming from multiple-input, multiple-output digital communication systems. It is well known that the complexity required to detect each signal with the Sphere Decoding algorithm may become unacceptable, especially for low signal-to-noise ratios. In this paper, we describe an auxiliary technique that drastically decreases the computation required to decode a signal. This technique was proposed by Stojnic, Hassibi and Vikalo in 2008, and is based on using continuous box-bounded minimization in combination with Sphere Decoding. Their implementation is, however, not competitive due to the box minimization algorithm selected. In this paper we prove that by judiciously selecting the box minimization algorithm and tailoring it to the Sphere Decoding environment, the computational complexity of the resulting algorithm for low signal-to-noise ratios is better (by orders of magnitude) than standard Sphere Decoding implementations. & 2013 Elsevier B.V. All rights reserved. es_ES
dc.description.sponsorship This work has been partially funded by Universitat Politecnica de Valencia through Programa de Apoyo a la Investigacion y Desarrollo de la UPV (PAID-06-11) and (PAID-05-12), by Generalitat Valenciana through projects PROMETEO/2009/013 and Ayudas para la realizacion de proyectos de I+D para grupos de investigacion emergentes GV/2012/039, and by Ministerio Espanol de Economia y Competitividad through project TEC2012-38142-C04. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Signal Processing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject MIMO communication systems es_ES
dc.subject Sphere decoding es_ES
dc.subject Box minimization es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Improved Maximum Likelihood Detection through Sphere Decoding combined with Box Optimization es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.sigpro.2013.11.041
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-05-12/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-11/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F013/ES/Computacion de altas prestaciones sobre arquitecturas actuales en porblemas de procesado múltiple de señal/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-01/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: CONTROL ACTIVO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat Valenciana//GV%2F2012%2F039/ES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions 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.description.bibliographicCitation García Mollá, VM.; Vidal Maciá, AM.; González Salvador, A.; Roger Varea, S. (2014). Improved Maximum Likelihood Detection through Sphere Decoding combined with Box Optimization. Signal Processing. 98:284-294. https://doi.org/10.1016/j.sigpro.2013.11.041 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.sigpro.2013.11.041 es_ES
dc.description.upvformatpinicio 284 es_ES
dc.description.upvformatpfin 294 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 98 es_ES
dc.relation.senia 259479
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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