Show simple item record

dc.contributor.authorŞenol, H.
dc.contributor.authorPanayırcı, E.
dc.contributor.authorUysal, Murat
dc.date.accessioned2015-02-01T13:50:51Z
dc.date.available2015-02-01T13:50:51Z
dc.date.issued2014
dc.identifier.isbn978-1-4799-4067-7
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6848994
dc.identifier.urihttp://hdl.handle.net/10679/875
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.en_US
dc.description.abstractThis paper is concerned with a challenging problem of channel estimation for amplify-and-forward cooperative relay based orthogonal frequency division multiplexing (OFDM) systems in the presence of sparse underwater acoustic channels and of the correlative non-Gaussian noise. We exploit the sparse structure of the channel impulse response to improve the performance of the channel estimation algorithm, due to the reduced number of taps to be estimated. The resulting novel algorithm initially estimates the overall sparse channel taps from the source to the destination as well as their locations using the matching pursuit (MP) approach. The correlated non-Gaussian effective noise is modeled as a Gaussian mixture. Based on the Gaussian mixture model, an efficient and low complexity algorithm is developed based on the combinations of the MP and the space-alternating generalized expectation-maximization (SAGE) technique, to improve the estimates of the channel taps and their location as well as the noise distribution parameters in an iterative way. The proposed SAGE algorithm is designed in such a way that, by choosing the admissible hidden data properly on which the SAGE algorithm relies, a subset of parameters is updated for analytical tractability and the remaining parameters for faster convergence Computer simulations show that underwater acoustic (UWA) channel is estimated very effectively and the proposed algorithm has excellent symbol error rate and channel estimation performance.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofCommunications and Networking (BlackSeaCom), 2014 IEEE International Black Sea Conference on
dc.rightsrestrictedAccess
dc.titleSparse channel estimation for OFDM-based underwater cooperative systems with amplify-and-forward relayingen_US
dc.typeConference paperen_US
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID124615
dc.contributor.ozuauthorUysal, Murat
dc.identifier.startpage6
dc.identifier.endpage10
dc.identifier.wosWOS:000343593200002
dc.identifier.doi10.1109/BlackSeaCom.2014.6848994
dc.subject.keywordsGaussian noiseen_US
dc.subject.keywordsGaussian processesen_US
dc.subject.keywordsOFDM modulationen_US
dc.subject.keywordsAmplify and forward communicationen_US
dc.subject.keywordsChannel estimationen_US
dc.subject.keywordsCooperative communicationen_US
dc.subject.keywordsExpectation-maximisation algorithmen_US
dc.identifier.scopusSCOPUS:2-s2.0-84904544210


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record


Share this page