EM-based sparse channel estimation in OFDM systems

Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero, Graham C. Goodwin

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

8 Citas (Scopus)

Resumen

In this paper, we address the problem of estimating sparse communication channels in OFDM systems. We consider the case where carrier frequency offset is present. The problem of estimation is then approached by maximizing a regularized (modified) likelihood function. This regularized likelihood function includes a new term accounting for the a priori probability density function for the parameters, represented by a Gaussian mean-variance mixture. The maximization of the regularized likelihood function is carried out by using the Expectation-Maximization (EM) algorithm. We show that the E-step in the proposed algorithm has a closed-form solution, and in the M-step, the cost function is concentrated in one variable (carrier frequency offset).

Idioma originalInglés
Título de la publicación alojada2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Páginas530-534
Número de páginas5
DOI
EstadoPublicada - 2012
Publicado de forma externa
Evento2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012 - Cesme, Turquía
Duración: 17 jun. 201220 jun. 2012

Serie de la publicación

NombreIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conferencia

Conferencia2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
País/TerritorioTurquía
CiudadCesme
Período17/06/1220/06/12

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