Skip navigation
  •  Inicio
  • UDC 
    • Cómo depositar
    • Políticas del RUC
    • FAQ
    • Derechos de autor
    • Más información en INFOguías UDC
  • Listar 
    • Comunidades
    • Buscar por:
    • Fecha de publicación
    • Autor
    • Título
    • Materia
  • Ayuda
    • español
    • Gallegan
    • English
  • Acceder
  •  Español 
    • Español
    • Galego
    • English
  
Ver ítem 
  •   RUC
  • Facultade de Informática
  • Investigación (FIC)
  • Ver ítem
  •   RUC
  • Facultade de Informática
  • Investigación (FIC)
  • Ver ítem
JavaScript is disabled for your browser. Some features of this site may not work without it.

A low-cost decision-aided channel estimation method for Alamouti OSTBC

Thumbnail
Ver/Abrir
CastroCastro_Paula_Low_cost_decision_NeuralComputing_2012_revised.pdf (779.2Kb)
Use este enlace para citar
http://hdl.handle.net/2183/15451
Colecciones
  • Investigación (FIC) [1685]
Metadatos
Mostrar el registro completo del ítem
Título
A low-cost decision-aided channel estimation method for Alamouti OSTBC
Autor(es)
Castro-Castro, Paula-María
Dapena, Adriana
García-Naya, José A.
Labrador, Josmary
Fecha
2013-11
Cita bibliográfica
Castro-Castro, Paula-María, P., Dapena, A., García-Naya, J. & Labrador, J. 2013, "A low-cost decision-aided channel estimation method for Alamouti OSTBC", Neural Computing and Applications, vol. 23, no. 6, pp. 1597-1604.
Resumen
[Abstract] In wireless communication systems, channel state information (CSI) acquisition is typically performed at the receiver side every time a new frame is received, without taking into account whether it is really necessary or not. Considering the special case of the 2 × 1 Alamouti orthogonal space-time block code, this work proposes to reduce computational complexity associated with the CSI acquisition by including a decision rule to automatically determine the time instants when CSI must be again updated. Otherwise, a previous channel estimate is reused. The decision criterion has a very low computational complexity since it consists in computing the cross correlation between preambles sent by the two transmit antennas. This allows us to obtain a considerable reduction on the complexity demanded by both supervised and unsupervised (blind) channel estimation algorithms. Such preambles do not penalize the spectral efficiency in the sense they are mandatory for frame detection as well as for time and frequency synchronization in current wireless communication systems.
Palabras clave
CSI acquisition
Alamouti code
Supervised and unsupervised estimation
Hybrid adaptive algorithms
Batch learning
 
Descripción
The final publication is available at Springer via http://dx.doi.org/10.1007/s00521-012-1112-1
Versión del editor
http://link.springer.com/article/10.1007/s00521-012-1112-1
ISSN
0941-0643 (Print)
1433-3058 (Online)
 

Listar

Todo RUCComunidades & ColeccionesPor fecha de publicaciónAutoresTítulosMateriasGrupo de InvestigaciónTitulaciónEsta colecciónPor fecha de publicaciónAutoresTítulosMateriasGrupo de InvestigaciónTitulación

Mi cuenta

AccederRegistro

Estadísticas

Ver Estadísticas de uso
Sherpa
OpenArchives
OAIster
Scholar Google
UNIVERSIDADE DA CORUÑA. Servizo de Biblioteca.    DSpace Software Copyright © 2002-2013 Duraspace - Sugerencias