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dc.contributor.authorKaran, Yasin
dc.contributor.authorKahveci, Salim
dc.date.accessioned2020-12-19T19:55:52Z
dc.date.available2020-12-19T19:55:52Z
dc.date.issued2016
dc.identifier.citationKaran, Y. & Kahveci, S. (2016). LMS and RLS equalizer performances of ultra wideband system in body area network channel. 2016 24Th Signal Processing and Communication Application Conference (Siu), 285-288.en_US
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.urihttps://hdl.handle.net/11436/2622
dc.description24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYen_US
dc.descriptionWOS: 000391250900049en_US
dc.description.abstractThis paper provides baseband simulation performed ultrawideband (UWB) system with direct sequence spread spectrum (DSSS) presented in the IEEE 802.15.6 wireless body area network (WBAN) standard. Body area network channel is used as a wireless communication channel. Against the multi-path effects caused by this channel, least mean squares (LMS) and recursive least squares (RLS) equalizers are used in the UWB receiver. Signal to noise ratio (SNR) - bit error rate (BER) performances are given due to usage of equalizations and the DSSS. Finally, 10(-3) - 10(-5) bit error rates are obtained in 6 -9 dB SNR levels in the simulations realized in baseband with DSSS.en_US
dc.description.sponsorshipIEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Engnen_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBody area network channelen_US
dc.subjectLeast mean squares equalizeren_US
dc.subjectRecursive least squares equalizeren_US
dc.titleLMS and RLS equalizer performances of ultra wideband system in body area network channelen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentRTEÜ, Fen - Edebiyat Fakültesi, Fizik Bölümüen_US
dc.contributor.institutionauthorKaran, Yasin
dc.identifier.startpage285en_US
dc.identifier.endpage288en_US
dc.relation.journal2016 24Th Signal Processing and Communication Application Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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