Back Propagation Neural Network Approach for Channel Estimation in OFDM System

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dc.contributor.authorTaspinar, Necmi
dc.contributor.authorSeyman, M. Nuri
dc.date.accessioned2020-06-25T17:51:20Z
dc.date.available2020-06-25T17:51:20Z
dc.date.issued2010
dc.departmentKırıkkale Üniversitesi
dc.descriptionIEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS) -- JUN 25-27, 2010 -- N China Elect Power Univ, Beijing, PEOPLES R CHINA
dc.description.abstractIn high data rate communication systems which use orthogonal frequency division multiplexing as a modulation scheme, at receiver channel impulse responses must be estimated for coherent demodulation. In this paper, multilayered perceptrons (MLP) neural network with backpropagation (BP) learning algorithm is proposed as a channel estimator for OFDM systems. Our proposed MLP neural channel estimator is compared to least square (LS) algorithm, minimum mean square error (MMSE) algorithm and radial basis function neural network (RBF) in respect to bit error rate (BER) and mean square error (MSE) criteria in order to evaluate the performances. MLP neural network has better performance than LS algorithm and RBF neural network and its performance is close to MMSE algorithm and the perfect channel impulse responses. Moreover, there is unnecessary of channel statistics, matrix computation and noise information when our proposed neural network is used for channel estimation.en_US
dc.description.sponsorshipIEEE Beijing Sect, N China Elect Power Univ, Shanghai Jiaotong Univ, Xiamen Univ, Beijing Univ Posts & Telecommunicat, Beijing Univ Technolen_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1109/WCINS.2010.5541934
dc.identifier.endpage+en_US
dc.identifier.isbn978-1-4244-5851-6
dc.identifier.scopus2-s2.0-77957665605
dc.identifier.scopusqualityN/A
dc.identifier.startpage265en_US
dc.identifier.urihttps://doi.org/10.1109/WCINS.2010.5541934
dc.identifier.urihttps://hdl.handle.net/20.500.12587/4810
dc.identifier.wosWOS:000287768500059
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2010 Ieee International Conference On Wireless Communications, Networking And Information Security (Wcnis), Vol 2
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOFDMen_US
dc.subjectchannel estimationen_US
dc.subjectneural networken_US
dc.subjectmultilayered perceptron (MLP)en_US
dc.subjectback propagationen_US
dc.titleBack Propagation Neural Network Approach for Channel Estimation in OFDM Systemen_US
dc.typeConference Object

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