Channel estimation based on adaptive neuro-fuzzy inference system in OFDM

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dc.contributor.authorSeyman, M. Nuri
dc.contributor.authorTaspinar, Necmi
dc.date.accessioned2020-06-25T17:44:30Z
dc.date.available2020-06-25T17:44:30Z
dc.date.issued2008
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIn this letter we purpose adaptive neuro-fuzzy inference system (ANFIS) for channel estimation in orthogonal frequency division multiplexing (OFDM) systems. To evaluate the performance of this estimator, we compare the ANFIS with least square (LS) algorithm, minimum mean square error (MMSE) algorithm by using bit error rate (BER) and mean square error (MSE) criterias. According to computer simulations the performance of ANFIS has better performance than LS algorithm and close to MMSE algorithm. Besides there is unnecessity to send pilot when used the ANFIS.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1093/ietcom/e9l-b.7.2426
dc.identifier.endpage2430en_US
dc.identifier.issn0916-8516
dc.identifier.issn1745-1345
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-67651040547
dc.identifier.scopusqualityQ3
dc.identifier.startpage2426en_US
dc.identifier.urihttps://doi.org/10.1093/ietcom/e9l-b.7.2426
dc.identifier.urihttps://hdl.handle.net/20.500.12587/4125
dc.identifier.volumeE91Ben_US
dc.identifier.wosWOS:000258170500046
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeice-Inst Electronics Information Communications Engen_US
dc.relation.ispartofIeice Transactions On Communications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOFDMen_US
dc.subjectchannel estimationen_US
dc.subjectANFISen_US
dc.subjectchannel impulse response (CIR)en_US
dc.titleChannel estimation based on adaptive neuro-fuzzy inference system in OFDMen_US
dc.typeArticle

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