DFT and ANN based channel estimation techniques combined to 3-tap equalization for a proposed FBMC scattered pilot frame model

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dc.contributor.authorAlmeida J.J.H.
dc.contributor.authorAkamine C.
dc.contributor.authorLopes P.B.
dc.date.accessioned2024-03-12T23:46:00Z
dc.date.available2024-03-12T23:46:00Z
dc.date.issued2020
dc.description.abstract© 2020 IEEE.This work presents a Filter Bank Multi Carrier (FBMC) based digital TV frame model combined to novel 3-tap Artificial Neural Network (ANN) and statistical Discrete Fourier Transform (DFT) channel estimation techniques. This arrangement improves the spectral efficiency and robustness of the transmission of data by avoiding the use of Cyclic Prefix (CP). The results show that pilot aided FBMC frame can be employed in digital TV applications. The Bit Error Rate (BER) curves demonstrate that ANN and DFT with statistical threshold 3-tap methods enhance the performance in multipath scenarios in comparison to traditional techniques.
dc.identifier.doi10.1109/LATINCOM50620.2020.9282300
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34870
dc.relation.ispartofProceedings - 2020 IEEE Latin-American Conference on Communications, LATINCOM 2020
dc.rightsAcesso Restrito
dc.subject.otherlanguageANN
dc.subject.otherlanguagechannel estimation
dc.subject.otherlanguageDFT -based
dc.subject.otherlanguageFBMC
dc.titleDFT and ANN based channel estimation techniques combined to 3-tap equalization for a proposed FBMC scattered pilot frame model
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-85099208949
local.scopus.subjectDigital tv applications
local.scopus.subjectEstimation techniques
local.scopus.subjectMulti carrier
local.scopus.subjectScattered-pilot
local.scopus.subjectSpectral efficiencies
local.scopus.subjectStatistical threshold
local.scopus.subjectTraditional techniques
local.scopus.subjectTransmission of data
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099208949&origin=inward
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