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dc.contributor.authorAcar, Yusuf
dc.contributor.authorLeblebici, Mehmet Merih
dc.contributor.authorDoğan, Hakan
dc.contributor.authorPanayırcı, Erdal
dc.date.accessioned2018-07-19T08:20:45Z
dc.date.available2018-07-19T08:20:45Z
dc.date.issued2016
dc.identifier.isbn978-1-5090-1925-0
dc.identifier.issn2375-8236
dc.identifier.urihttps://hdl.handle.net/11413/2200
dc.description.abstractThe combination of spatial modulation (SM) and orthogonal frequency division multiplexing (OFDM) as SM-OFDM is a recently proposed efficient modulation scheme with exploiting the index of transmit antenna to convey information bits for multiple-input multiple-output (MIMO) wireless communication systems due to its low complexity feature. The pioneering works assume that the perfect channel state information (P-CSI) or pilot symbols aided channel estimation (PSA-CE) is available at the receiver. The open question is whether the accuracy of pilot based channel estimation is satisfactory to accomplish high data rate transmission in SM-OFDM systems. This paper explores the iterative channel estimation (ICE) problem for the coded SM-OFDM systems. We showed that the quality of the channel estimation can be further enhanced by the detection of symbols at the receiver. Through comparative simulations, we show that the proposed ICE method has notable bit error rate (BER) performance compared with the PSA-CE method for the binary phase shift keying (BPSK) modulation over the typical urban (TU) channel model.tr_TR
dc.language.isoen_UStr_TR
dc.publisherIEEE, 345 E 47Th St, New York, Ny 10017 USAtr_TR
dc.relation2016 IEEE International Black Sea Conference on Communications and Networking (Blackseacom)tr_TR
dc.subjectMIMOtr_TR
dc.subjectspatial modulationtr_TR
dc.subjectOFDMtr_TR
dc.subjectiterative channel estimationtr_TR
dc.subjectinterpolationtr_TR
dc.titleData detection based iterative channel estimation for coded SM-OFDM systemstr_TR
dc.typeArticletr_TR
dc.contributor.authorID237377tr_TR
dc.contributor.authorID249850tr_TR
dc.contributor.authorID10331tr_TR


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