Estimation of Symmetric Channels for Discrete Cosine Transform Type-I Multicarrier Systems: A Compressed Sensing Approach

Domínguez Jiménez, María Elena, Luengo García, David ORCID: https://orcid.org/0000-0001-7407-3630 and Sansigre Vidal, Gabriela ORCID: https://orcid.org/0000-0001-7248-0814 (2015). Estimation of Symmetric Channels for Discrete Cosine Transform Type-I Multicarrier Systems: A Compressed Sensing Approach. "The Scientific World Journal", v. 2015 ; pp. 1-10. ISSN 2356-6140. https://doi.org/10.1155/2015/151370.

Descripción

Título: Estimation of Symmetric Channels for Discrete Cosine Transform Type-I Multicarrier Systems: A Compressed Sensing Approach
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: The Scientific World Journal
Fecha: 2015
ISSN: 2356-6140
Volumen: 2015
Materias:
ODS:
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Matemática Aplicada a la Ingeniería Industrial
Grupo Investigación UPM: UPM TACA Research Group
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The problem of channel estimation for multicarrier communications is addressed. We focus on systems employing the Discrete Cosine Transform Type-I (DCT1) even at both the transmitter and the receiver, presenting an algorithm which achieves an accurate estimation of symmetric channel filters using only a small number of training symbols. The solution is obtained by using either matrix inversion or compressed sensing algorithms. We provide the theoretical results which guarantee the validity of the proposed technique for the DCT1. Numerical simulations illustrate the good behaviour of the proposed algorithm.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TEC2012-38058-C03-01
Sin especificar
Sin especificar
Sin especificar

Más información

ID de Registro: 40781
Identificador DC: https://oa.upm.es/40781/
Identificador OAI: oai:oa.upm.es:40781
Identificador DOI: 10.1155/2015/151370
URL Oficial: https://www.hindawi.com/journals/tswj/2015/151370/
Depositado por: Memoria Investigacion
Depositado el: 08 Jun 2016 15:47
Ultima Modificación: 05 Jun 2019 15:10