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dc.contributor.authorSeyman, M. N.
dc.contributor.authorTaspinar, N.
dc.date.accessioned2020-06-25T18:06:49Z
dc.date.available2020-06-25T18:06:49Z
dc.date.issued2012
dc.identifier.citationSeyman, M. N., & Taspinar, N. (2012). MIMO-OFDM channel estimation using ANFIS. Elektronika Ir Elektrotechnika, 120(4), 75-78.en_US
dc.identifier.issn1392-1215
dc.identifier.urihttps://doi.org/10.5755/j01.eee.120.4.1458
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5371
dc.descriptionWOS: 000303226800016en_US
dc.description.abstractM. N. Seyman, N. Taspinar. MIMO-OFDM Channel Estimation Using ANFIS // Electronics and Electrical Engineering. - Kaunas: Technologija, 2012. - No. 4(120). - P. 75-78. In this paper, adaptive neuro fuzzy inference system (ANFIS) model is proposed for channel estimation in MIMO-OFDM system and the performance of this estimator is compared to the least square error (LS), least mean square error (LMS) algorithms by computer simulations. According to the simulations, ANFIS performs better than LS and LMS algorithms. Moreover, there is no need of sending pilot tones which are necessary for classical algorithms, in ANFIS. Therefore the ANFIS is bandwidth efficient algorithm. Ill. 4, bibl. 15, tabl. 1 (in English; abstracts in English and Lithuanian).en_US
dc.language.isoengen_US
dc.publisherKaunas Univ Technologyen_US
dc.relation.isversionof10.5755/j01.eee.120.4.1458en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleMIMO-OFDM Channel Estimation Using ANFISen_US
dc.typearticleen_US
dc.contributor.departmentKırıkkale Üniversitesien_US
dc.identifier.volume120en_US
dc.identifier.issue4en_US
dc.identifier.startpage75en_US
dc.identifier.endpage78en_US
dc.relation.journalElektronika Ir Elektrotechnikaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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