Piecewise demodulation based on combined artificial neural network for quadrate frequency shift keying communication signals

Basit Öğe Kaydı
dc.authorid0000-0003-1840-9958
dc.authorid0000-0001-7345-2727
dc.contributor.authorDaldal, Nihat
dc.contributor.authorPolat, Kemal
dc.date.accessioned2021-06-23T18:57:26Z
dc.date.available2021-06-23T18:57:26Z
dc.date.issued2020
dc.departmentBAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThe Quadrate Frequency-shift Keying (QFSK) modulation is one of the most widely used modulation methods for transmitting base band signal in the transition band in digital communication. It is a very common modulation type for fast and easy transmission of data, especially in wireless communication. In QFSK modulation, 4 separate carriers are used, and since each carrier represents 2 bits, the sending speed doubles according to classical digital modulation. In this study, firstly, with QFSK modulation, 8-bit information-bearing module signals have been obtained. Moreover, the theory has been developed on the demodulation of the QFSK module signal. The aim is to get the base band signal again. For this purpose, all data from 0–255 to 8-bit decimal length has been obtained as QFSK modulated. SNR = 5 dB–10 db–15 dB–20 dB noise has been added to the QFSK signal in order to examine the system performance during the transmission of the modulated signal. The generated signals are given to the developed demodulation system using different foldings. The matrix consisting of QFSK modulation data to be trained in the network of ANN in demodulation is divided into 4 parts. Each piece represents two bits of data. In the case of a column matrix, 4 parts have been applied as an introduction to the neural network model. In the output of ANN, the result matrix to be estimated has been formed. Trained with 5 dB noisy QFSK data of 10-layer network, application of other QFSK signal data to the network for testing, base band data of the signal has been obtained and 100% performance has been achieved. Each piece of modulation signal applied to the ANN network input is classified between 0–3 at the output. The modulation data that carries 8 bits are applied to the network in 4 steps and classified. 4 separate classification data from ANN output are converted to 2 bits of logic. 8-bit demodulation data is obtained from 4 steps. After the formation of the ANN network, the base band digital signal estimation is performed quickly in 4 steps through each byte QFSK modulation signal under different noise coming to the network.en_US
dc.identifier.doi10.1007/978-3-030-36178-5_2
dc.identifier.endpage24en_US
dc.identifier.isbn9783030361778
dc.identifier.issn2367-4512
dc.identifier.scopus2-s2.0-85083420640en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage17en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-36178-5_2
dc.identifier.urihttps://hdl.handle.net/20.500.12491/5189
dc.identifier.volume43en_US
dc.identifier.wosWOS:000678771000002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorPolat, Kemal
dc.institutionauthorDaldal, Nihat
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofLecture Notes on Data Engineering and Communications Technologiesen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDemodulationen_US
dc.subjectDigital Communicationen_US
dc.subjectDigital Modulationen_US
dc.subjectPiecewise ANNen_US
dc.subjectQFSK Modulationen_US
dc.titlePiecewise demodulation based on combined artificial neural network for quadrate frequency shift keying communication signalsen_US
dc.typeBook Chapteren_US

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Scopus İndeksli Yayınlar Koleksiyonu
Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu