A Novel Modulation Recognition Technique Based on Artificial Bee Colony Algorithm in the Presence of Multipath Fading Channels

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dc.authoridOzturk, Celal/0000-0003-3798-8123
dc.contributor.authorÖzen, Ali
dc.contributor.authorOzturk, Celal
dc.date.accessioned2025-02-24T17:18:35Z
dc.date.available2025-02-24T17:18:35Z
dc.date.issued2013
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description36th International Conference on Telecommunications and Signal Processing (TSP) -- JUL 02-04 -- 2013 -- Rome -- ITALY
dc.description.abstractIn this paper, a novel automatic modulation recognition (AMR) method has been proposed for classifying of the transmitted signals by observing the received data samples in the presence of additive white Gaussian noise (AWGN) and multipath fading channel. The proposed method (ABC-ANN) is based on artificial neural network (ANN) which is trained by artificial bee colony (ABC) algorithm. Because high order statistics are very interesting features to solve the problem of AMR, the high order cumulants have been employed in the proposed ABC-ANN classifier. ABC algorithm is used in finding the optimal weight set of artificial neural networks for classification and the performance of the proposed ABC-ANN algorithm is compared with the performance of ANN classifier (SCG-ANN) using scaled conjugate gradient learning algorithm. Computer simulation results have demonstrated that the proposed recognizer can reach much better classification accuracy than the SCG-ANN in even 0 dB of signal to noise ratio (SNR) value.
dc.description.sponsorshipIEEE, Czechoslovakia Sect,Investment & Business Dev Agcy Czech Republ,Brno Univ Technol, Dept Telecommunicat,Budapest Univ Technol & Econ, Dept Telecommunicat,Karadeniz Tech Univ, Dept Elect & Elect Engn,W Pomeranian Univ Technol, Fac Elect Engn,Tech Univ Ostrava, Dept Telecommunicat,Slovak Univ Technol, Inst Telecommunicat,Univ Ljubljana, Lab Telecommunicat,Czech Tech Univ, Dept Telecommunicat Engn,Adv Elect & Elect Engn Journal,Int Journal Adv Telecommunicat, Electrotechn, Signals & Syst
dc.identifier.endpage243
dc.identifier.isbn978-1-4799-0402-0
dc.identifier.isbn978-1-4799-0403-7
dc.identifier.scopus2-s2.0-84885577836
dc.identifier.scopusqualityN/A
dc.identifier.startpage239
dc.identifier.urihttps://hdl.handle.net/20.500.14440/762
dc.identifier.wosWOS:000333968000048
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2013 36th International Conference on Telecommunications and Signal Processing (Tsp)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250201
dc.subjectAutomatic modulation recognition
dc.subjectartificial bee colony algorithm
dc.subjectartificial neural networks
dc.subjecthigh order cumulant
dc.titleA Novel Modulation Recognition Technique Based on Artificial Bee Colony Algorithm in the Presence of Multipath Fading Channels
dc.typeConference Object

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