Sparse Channel Estimation for Ofdm-Based Underwater Cooperative Systems With Amplify-And Relaying

dc.contributor.author Şenol, Habib
dc.contributor.author Şenol, Habib
dc.contributor.author Panayırcı, Erdal
dc.contributor.author Panayırcı, Erdal
dc.contributor.author Uysal, Murat
dc.contributor.other Computer Engineering
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2019-06-28T11:10:56Z
dc.date.available 2019-06-28T11:10:56Z
dc.date.issued 2014
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
dc.description.abstract This 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. en_US]
dc.identifier.citationcount 1
dc.identifier.doi 10.1109/BlackSeaCom.2014.6848994 en_US
dc.identifier.endpage 10
dc.identifier.isbn 9781479940677
dc.identifier.scopus 2-s2.0-84904544210 en_US
dc.identifier.startpage 6 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/1384
dc.identifier.uri https://doi.org/10.1109/BlackSeaCom.2014.6848994
dc.identifier.wos WOS:000343593200002 en_US
dc.institutionauthor Şenol, Habib en_US
dc.institutionauthor Panayirci, Erdal en_US
dc.language.iso en en_US
dc.publisher IEEE Computer Society en_US
dc.relation.journal International Black Sea Conference on Communications and Networking en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 1
dc.title Sparse Channel Estimation for Ofdm-Based Underwater Cooperative Systems With Amplify-And Relaying en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 1
dspace.entity.type Publication
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