- -

Soft MIMO detection through sphere decoding and box optimization

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Soft MIMO detection through sphere decoding and box optimization

Show simple item record

Files in this item

dc.contributor.author Simarro, M. Angeles es_ES
dc.contributor.author García Mollá, Víctor Manuel es_ES
dc.contributor.author Vidal Maciá, Antonio Manuel es_ES
dc.contributor.author Martínez Zaldívar, Francisco José es_ES
dc.contributor.author Gonzalez, Alberto es_ES
dc.date.accessioned 2019-06-30T20:01:33Z
dc.date.available 2019-06-30T20:01:33Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0165-1684 es_ES
dc.identifier.uri http://hdl.handle.net/10251/122916
dc.description.abstract [EN] Achieving optimal detection performance with low complexity is one of the major challenges, mainly in multiple-input multiple-output (MIMO) detection. This paper presents three low-complexity Soft-Output MIMO detection algorithms that are based mainly on Box Optimization (BO) techniques. The proposed methods provide good performance with low computational cost using continuous constrained optimization techniques. The rst proposed algorithm is a non-optimal Soft-Output detector of reduced complexity. This algorithm has been compared with the Soft-Output Fixed Complexity (SFSD) algorithm, obtaining lower complexity and similar performance. The two remaining algorithms are employed in a turbo receiver, achieving the max-log Maximum a Posteriori (MAP) performance. The two Soft-Input Soft-Output (SISO) algorithms were proposed in a previous work for soft-output MIMO detection. This work presents its extension for iterative decoding. The SISO algorithms presented are developed and compared with the SISO Single Tree Search algorithm (STS), in terms of efficiency and computational cost. The results show that the proposed algorithms are more efficient for high order constellation than the STS algorithm. es_ES
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 es_ES
dc.subject Soft-Input es_ES
dc.subject Soft-Output es_ES
dc.subject Detection es_ES
dc.subject Box optimization es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title Soft MIMO detection through sphere decoding and box optimization es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.sigpro.2017.11.010 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 Simarro, MA.; García Mollá, VM.; Vidal Maciá, AM.; Martínez Zaldívar, FJ.; Gonzalez, A. (2018). Soft MIMO detection through sphere decoding and box optimization. Signal Processing. 145:48-58. https://doi.org/10.1016/j.sigpro.2017.11.010 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.sigpro.2017.11.010 es_ES
dc.description.upvformatpinicio 48 es_ES
dc.description.upvformatpfin 58 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 145 es_ES
dc.relation.pasarela S\368494 es_ES


This item appears in the following Collection(s)

Show simple item record