Publication:
Performance Evaluation of ANN-Based Channel Interpolation for OFDM System

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dc.authorscopusid43261063600
dc.authorscopusid16230640200
dc.authorscopusid35781802800
dc.contributor.authorKorunur Engiz, B.K.
dc.contributor.authorKurnaz, Ç.
dc.contributor.authorKayhan, Gokhan
dc.date.accessioned2020-06-21T09:28:48Z
dc.date.available2020-06-21T09:28:48Z
dc.date.issued2012
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Korunur Engiz] Begüm, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kurnaz] Çetin, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kayhan] Gökhan, Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractIn this study, the effect of three different techniques that used for interpolation on OFDM system with pilot based comb type channel estimation is investigated and results are given in terms of BER (Bit Error Rate). The estimation of channel at pilot subcarriers is done by LS (Least Square), and interpolation of channel at data subcarriers are obtained by low pass (LP) interpolation algorithm, ANFIS (Adaptive Network Based Fuzzy Inference Systems) and GRNN (Generalized Regression Neural Networks) artificial neural network (ANN) structures. The results show that there is a relationship between the number of used pilot bits and interpolation technique's performance. If the aim is to get high bandwidth efficiency over a given bandwidth LP algorithm should be used for interpolation, to get the lowest BER ANFIS or GRNN can be used. © 2012 IEEE.en_US
dc.identifier.doi10.1109/INISTA.2012.6246975
dc.identifier.isbn9781467314466
dc.identifier.scopus2-s2.0-84866613081
dc.identifier.urihttps://doi.org/10.1109/INISTA.2012.6246975
dc.language.isoenen_US
dc.relation.ispartof-- International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2012en_US
dc.relation.journalINISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANFISen_US
dc.subjectANNen_US
dc.subjectComb Type Based Channel Estimationen_US
dc.subjectGRNNen_US
dc.subjectLPen_US
dc.subjectOFDMen_US
dc.titlePerformance Evaluation of ANN-Based Channel Interpolation for OFDM Systemen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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