MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks

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dc.contributor.authorSolyman, Ahmad Amin Ahmad
dc.contributor.authorAttar, Hani
dc.contributor.authorKhosravi, Mohammad R.
dc.contributor.authorKoyuncu, Baki
dc.date.accessioned2020-07-19T22:51:10Z
dc.date.available2020-07-19T22:51:10Z
dc.date.issued2020en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractIn this article, three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, which are Alamouti space-time block coding multiple-input single-output/multiple-input multiple-output multicarrier modulation (MCM) system, extended orthogonal space-time block coding multiple-input single-output MCM system, and multiple-input multiple-output system. Moreover, the proposed work is applied over multiple-input multiple-output systems rather than the conventional single-antenna orthogonal chirp division multiplexing systems, based on the discrete fractional cosine transform orthogonal chirp division multiplexing system to mitigate the effect of frequency-selective and time-varying channels, using low-complexity equalizers, specifically by ignoring the intercarrier interference coming from faraway subcarriers and using the LSMR iteration algorithm to decrease the equalization complexity, mainly with long orthogonal chirp division multiplexing symbols, such as the TV symbols. The block diagrams for the proposed systems are provided to simplify the theoretical analysis by making it easier to follow. Simulation results confirm that the proposed multiple-input multiple-output and multiple-input single-output orthogonal chirp division multiplexing systems outperform the conventional multiple-input multiple-output and multiple-input single-output orthogonal frequency division multiplexing systems. Finally, the results show that orthogonal chirp division multiplexing exhibited a better channel energy behavior than classical orthogonal frequency division multiplexing, thus improving the system performance and allowing the system to decrease the equalization complexity.en_US
dc.identifier.doi10.1177/1550147720912950en_US
dc.identifier.issn1550-1477
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85086722661en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://hdl.handle.net/11363/2320
dc.identifier.urihttps://doi.org/
dc.identifier.volume16en_US
dc.identifier.wosWOS:000544721800001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSAGE PUBLICATIONS INC, 2455 TELLER RD, THOUSAND OAKS, CA 91320 USAen_US
dc.relation.ispartofInternational Journal of Distributed Sensor Networksen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectOrthogonal chirp division multiplexingen_US
dc.subjectmultiple-input multiple-outputen_US
dc.subjectorthogonal frequency division multiplexing (OFDM)en_US
dc.subjectwireless sensor networksen_US
dc.subjectdoubly dispersive channelen_US
dc.subjectintercarrier interferenceen_US
dc.subjectOFDMen_US
dc.subjectALGORITHMen_US
dc.subjectSIGNALSen_US
dc.subjectSYSTEMen_US
dc.titleMIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networksen_US
dc.typeArticleen_US

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