Radio Frequency Transient Segment Detection Based on Akaike Information Criterion

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dc.contributor.authorAjouat, Saleh Abulgasem
dc.contributor.authorTezel, Necmi Serkan
dc.date.accessioned2024-09-29T16:12:21Z
dc.date.available2024-09-29T16:12:21Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe precise interpreting of RF data starts from retrieving or knowing the exact time instant at which moment the sender is turned on, this challenge implies two important issues; prevent manipulating redundant information such as unavoidable background noise which speed up the processing and the other issue is to study the exact behavior of that sender. A method has been developed to automatically catch the onset in transient of Bluetooth signal using of the Akaike Information Criterion (AIC). Present method has been examined on real world data taken from the most common cellular phones brands by different ways with variation of signal to noise ratio. The AIC algorithm shows robustness in the existence of relatively a high-amplitude random noise.en_US
dc.identifier.endpage1686en_US
dc.identifier.issn1302-0900
dc.identifier.issn2147-9429
dc.identifier.issue4en_US
dc.identifier.startpage1681en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8707
dc.identifier.volume25en_US
dc.identifier.wosWOS:001001850300022en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherGazi Univen_US
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAkaike information criterionen_US
dc.subjecttransient detectionen_US
dc.subjectbluetooth signalen_US
dc.titleRadio Frequency Transient Segment Detection Based on Akaike Information Criterionen_US
dc.typeArticleen_US

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