DocumentCode
3082503
Title
Blind identification of sparse channels and symbol detection via the EM algorithm
Author
Mileounis, Gerasimos ; Kalouptsidis, Nicholas ; Babadi, Behtash ; Tarokh, Vahid
Author_Institution
Dept. of Inf. & Telecommun., Univ. of Athens, Athens, Greece
fYear
2011
fDate
6-8 July 2011
Firstpage
1
Lastpage
5
Abstract
In this paper, we address the problem of blind identification of sparse channels. For this purpose, the Expectation-Maximization is modified to accommodate channel sparsity. The resulting algorithm is applicable for linear and nonlinear channels. Computer simulations on various channel set ups illustrate that the proposed algorithm achieves performance close to the genie-aided estimator.
Keywords
channel estimation; expectation-maximisation algorithm; EM algorithm; channel sparsity; expectation-maximization; nonlinear channel; sparse channel blind identification; symbol detection; Blind equalizers; Channel estimation; Computational modeling; Convergence; Estimation; Hidden Markov models; Markov processes; Blind Identification; Compressed Sensing; Expectation Maximization algorithm; Nonlinear systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing (DSP), 2011 17th International Conference on
Conference_Location
Corfu
ISSN
Pending
Print_ISBN
978-1-4577-0273-0
Type
conf
DOI
10.1109/ICDSP.2011.6004920
Filename
6004920
Link To Document