A Fast Start-Up Modified LMS Algorithm

Basit Öğe Kaydı
dc.authoridAyvaz, Elif Nur/0000-0002-8383-9690
dc.contributor.authorAyvaz, Elif Nur
dc.contributor.authorMaraş, Meryem
dc.contributor.authorÖzen, Ali
dc.date.accessioned2025-02-24T17:18:34Z
dc.date.available2025-02-24T17:18:34Z
dc.date.issued2018
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05 -- 2018 -- Izmir -- TURKEY
dc.description.abstractDue to the time-delay spread of the channel, the equalizers for high data rate mobile communication systems has critical importance in mitigation of inter-symbol interference (ISI). One of the most important channel equalization algorithms is the least mean squares (LMS) algorithm. However, the slow convergence rate and the need for long training sequences are the major disadvantages of the LMS algorithm. In this paper, a fast-start-up modified LMS (FSU-M-LMS) algorithm based on channel matched filter (CMF) has been proposed to increase the convergence speed and performance of the LMS algorithm. In order to prove the performance of the proposed method, computer simulations are performed on stationary and nonstationary frequency selective Rayleigh fading channels. The obtained simulation results illustrate that the proposed FSU-M-LMS algorithm has better mean square error (MSE), bit error rate (BER) and channel tracking performances than the conventional LMS, modified LMS (M-LMS), normalized LMS (N-LMS) and conventional RLS algorithm.
dc.description.sponsorshipIEEE,Huawei,Aselsan,NETAS,IEEE Turkey Sect,IEEE Signal Proc Soc,IEEE Commun Soc,ViSRATEK,Adresgezgini,Rohde & Schwarz,Integrated Syst & Syst Design,Atilim Univ,Havelsan,Izmir Katip Celebi Univ
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85050820355
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14440/751
dc.identifier.wosWOS:000511448500340
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2018 26th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250201
dc.subjectchannel equalization
dc.subjectconvergence speed
dc.subjectLMS
dc.subjectRLS
dc.subjectfast start-up M-LMS
dc.titleA Fast Start-Up Modified LMS Algorithm
dc.typeConference Object

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu