Bit error rate performance of in-vivo radio channel using maximum likelihood sequence estimation

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dc.contributor.authorMezher, Mohad
dc.contributor.authorIlyas, Muhammad
dc.contributor.authorBayat, Oğuz
dc.contributor.authorAbbasi, Qammer H.
dc.date.accessioned2021-05-15T12:49:45Z
dc.date.available2021-05-15T12:49:45Z
dc.date.issued2020
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Bilgisayar Mühendisliği Bölümüen_US
dc.description2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020 -- 12 June 2020 through 13 June 2020 -- -- 162684
dc.description.abstractIn this paper we present the Bit Error Rate (BER) performance of equalizers using in-vivo channel response measured using Vector Network Analyzer (VNA). Including the use of a Bandwidth (BW) of 50 MHz in the simulations, the results are compared with multiple equalizers and it is shown that Maximum Likelihood Sequence Estimation (MLSE) equalizer outperformed the rest of the equalizers including linear equalizers Least Mean Square (LMS) and Recursive least sequence (RLS) and non-linear equalizer Decision Feedback Equalizer (DFE). The BER performance using MLSE showed significant improvement by improving the BER and outperforming the linear equalizer from 10-2 to 10-6 and DFE from 10-4 to 10-6 at text{Eb}/ text{No}= 14 dB for in vivo radio communication channel at ultra wideband (UWB) frequencies. Furthermore, the un-equalized and equalized channel frequency response spectrum is also part of this article which presents the overall improvement between the two spectrums. © 2020 IEEE.en_US
dc.identifier.doi10.1109/ICECCE49384.2020.9179248
dc.identifier.isbn9781728171166
dc.identifier.scopus2-s2.0-85091956434
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ICECCE49384.2020.9179248
dc.identifier.urihttps://hdl.handle.net/20.500.12939/1110
dc.indekslendigikaynakScopus
dc.institutionauthorBayat, Oğuz
dc.institutionauthorMezher, Mohad
dc.institutionauthorIlyas, Muhammad
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBit Error Rate (BER)en_US
dc.subjectBody Area Networks (WBANs)en_US
dc.subjectEqualizationen_US
dc.subjectIn Vivo Communicationen_US
dc.subjectUltra Widebanden_US
dc.titleBit error rate performance of in-vivo radio channel using maximum likelihood sequence estimation
dc.typeConference Object

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