EM-based sparse channel estimation in OFDM systems

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

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).

Original languageEnglish
Title of host publication2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Pages530-534
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012 - Cesme, Turkey
Duration: 17 Jun 201220 Jun 2012

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Country/TerritoryTurkey
CityCesme
Period17/06/1220/06/12

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