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dc.contributor.authorKocian, Alexander
dc.contributor.authorPanayirci, Erdal
dc.contributor.authorPoor, H. Vincent
dc.contributor.authorRuggieri, Marina
dc.date.accessioned2019-06-28T11:11:23Z
dc.date.available2019-06-28T11:11:23Z
dc.date.issued2010
dc.identifier.issn1053587X
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1562
dc.identifier.urihttps://dx.doi.org/10.1109/TSP.2010.2062181
dc.description.abstractThis paper presents an iterative scheme for joint timing acquisition multi-channel parameter estimation and multiuser soft-data decoding. As an example an asynchronous convolutionally coded direct-sequence code-division multiple-access system is considered. The proposed receiver is derived within the space-alternating generalized expectation-maximization framework implying that convergence in likelihood is guaranteed under appropriate conditions in contrast to many other iterative receiver architectures. The proposed receiver iterates between joint posterior data estimation interference cancellation and single-user channel estimation and timing acquisition. A Markov Chain Monte Carlo technique namely Gibbs sampling is employed to compute the a posteriori probabilities of data symbols in a computationally efficient way. Computer simulations in flat Rayleigh fading show that the proposed algorithm is able to handle high system loads unlike many other iterative receivers. © 2006 IEEE.
dc.language.isoEnglish
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectExpectation maximization algorithms
dc.subjectMonte Carlo mthods
dc.subjectMultiaccess communication
dc.titleA Monte Carlo implementation of the SAGE algorithm for joint soft-multiuser decoding channel parameter estimation and code acquisition
dc.typeArticle
dc.identifier.startpage5756
dc.identifier.endpage5766
dc.relation.journalIEEE Transactions on Signal Processing
dc.identifier.issue11
dc.identifier.volume58
dc.identifier.doi10.1109/TSP.2010.2062181
dc.contributor.khasauthorPanayirci, Erdal


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