A New Modulation Recognition Method Based on Artificial Bee Colony Algorithm
dc.authorid | Ozturk, Celal/0000-0003-3798-8123 | |
dc.contributor.author | Özen, Ali | |
dc.contributor.author | Ozturk, Celal | |
dc.date.accessioned | 2025-02-24T17:18:36Z | |
dc.date.available | 2025-02-24T17:18:36Z | |
dc.date.issued | 2013 | |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | |
dc.description | 21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26 -- 2013 -- CYPRUS | |
dc.description.abstract | A new digital modulation recognition method has been proposed for classifying baseband signals that are subjected to additive white Gaussian noise (AWGN) channel in this paper. The proposed method (ABC-ANN) is based on artificial neural network (ANN) which is trained by artificial bee colony (ABC) algorithm. The high order cumulants have been employed in the proposed ABC-ANN classifier. ABC algorithm has been used in finding the optimal weight set which directly affects the performance of artificial neural networks. Computer simulation results have demonstrated that the proposed recognizer can reach much better classification accuracy than the existing methods in even -5 dB of signal to noise ratio (SNR) value. | |
dc.identifier.isbn | 978-1-4673-5563-6 | |
dc.identifier.isbn | 978-1-4673-5562-9 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.scopus | 2-s2.0-84880876773 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.uri | https://hdl.handle.net/20.500.14440/765 | |
dc.identifier.wos | WOS:000325005300202 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | tr | |
dc.publisher | IEEE | |
dc.relation.ispartof | 2013 21st Signal Processing and Communications Applications Conference (Siu) | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_WOS_20250201 | |
dc.subject | Modulation recognition | |
dc.subject | ABC algorithm | |
dc.subject | ABC-ANN | |
dc.subject | high order cumulant | |
dc.subject | optimization | |
dc.title | A New Modulation Recognition Method Based on Artificial Bee Colony Algorithm | |
dc.type | Conference Object |