A Novel Adaptive Variable Forgetting Factor RLS Algorithm

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dc.authoridMARAS, MERYEM/0000-0002-6626-7838
dc.contributor.authorMaraş, Meryem
dc.contributor.authorAyvaz, Elif Nur
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.abstractAs the demand for higher data rates increases steadily, there will always be a need to develop more efficient wireless communication systems. Adaptive channel equalizers need to be used to correct the disturbing effects of the channel resulting from the time-varying mobile communication channel. One of the most popular channel equalization algorithms is the recursive least squares (RLS) algorithm. However, the performance of the fixed forgetting factor RLS algorithm is falling in the time-varying channel environment. In this paper, a new adaptive variable forgetting factor RLS (AVFF-RLS) algorithm based on the autocorrelation of the error signal has been proposed to increase the convergence speed and performance of the RLS algorithm. In order to test the performance of the proposed method, computer simulations are performed on frequency selective Rayleigh fading channels. It is observed that the proposed AVFF-RLS algorithm has better mean square error (MSE), bit error rate (BER) and channel tracking performances than the conventional RLS, conventional LMS, modified LMS (M-LMS) and normalized LMS (N-LMS) algorithms from the obtained simulation results.
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-s2.0-85050821901
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14440/753
dc.identifier.wosWOS:000511448500261
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.subjectchannel tracking
dc.subjectLMS
dc.subjectRLS
dc.subjectadaptive variable forgetting factor
dc.titleA Novel Adaptive Variable Forgetting Factor RLS Algorithm
dc.typeConference Object

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