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dc.contributor.authorŞenol, Habib
dc.contributor.authorPanayirci, Erdal
dc.contributor.authorUysal, Murat
dc.date.accessioned2019-06-28T11:10:56Z
dc.date.available2019-06-28T11:10:56Z
dc.date.issued2014
dc.identifier.isbn9781479940677
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1384
dc.identifier.urihttps://doi.org/10.1109/BlackSeaCom.2014.6848994
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. © 2014 IEEE.
dc.language.isoEnglish
dc.publisherIEEE Computer Society
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleSparse channel estimation for OFDM-based underwater cooperative systems with amplify-and-forward relaying
dc.typeConference Paper
dc.identifier.startpage6
dc.identifier.endpage10
dc.relation.journalInternational Black Sea Conference on Communications and Networking
dc.identifier.doi10.1109/BlackSeaCom.2014.6848994
dc.contributor.khasauthorŞenol, Habib
dc.contributor.khasauthorPanayirci, Erdal


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