Channel estimation for visible light communications using neural networks
dc.contributor.author | Panayırcı, Erdal | |
dc.contributor.author | Karatalay, Onur | |
dc.contributor.author | Öğrenci, Arif Selçuk | |
dc.contributor.author | Panayırcı, Erdal | |
dc.date.accessioned | 2019-06-28T11:10:44Z | |
dc.date.available | 2019-06-28T11:10:44Z | |
dc.date.issued | 2016 | |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.description.abstract | Visible light communications (VLC) is an emerging field in technology and research. Estimating the channel taps is a major requirement for designing reliable communication systems. Due to the nonlinear characteristics of the VLC channel those parameters cannot be derived easily. They can be calculated by means of software simulation. In this work a novel methodology is proposed for the prediction of channel parameters using neural networks. Measurements conducted in a controlled experimental setup are used to train neural networks for channel tap prediction. Our experiment results indicate that neural networks can be effectively trained to predict channel taps under different environmental conditions. © 2016 IEEE. | en_US] |
dc.identifier.citation | 16 | |
dc.identifier.doi | 10.1109/IJCNN.2016.7727215 | en_US |
dc.identifier.endpage | 325 | |
dc.identifier.isbn | 9781509006199 | |
dc.identifier.scopus | 2-s2.0-85007158483 | en_US |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 320 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/1275 | |
dc.identifier.volume | 2016-October | en_US |
dc.identifier.wos | WOS:000399925500043 | en_US |
dc.identifier.wosquality | N/A | |
dc.institutionauthor | Öğrenci, Arif Selçuk | en_US |
dc.institutionauthor | Panayirci, Erdal | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.journal | 2016 International Joint Conference on Neural Networks (IJCNN) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.title | Channel estimation for visible light communications using neural networks | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 5371ab5d-9cd9-4d1f-8681-a65b3d5d6add | |
relation.isAuthorOfPublication.latestForDiscovery | 5371ab5d-9cd9-4d1f-8681-a65b3d5d6add |
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