Akaike Bilgi Kriteri ile Radyo Frekans Geçici Hal Segment Tespiti

Year 2022, Volume: 25 Issue: 4, 1681 - 1686, 16.12.2022

Saleh Abulgasem Khalifa Ajouat , Necmi Serkan Tezel

https://doi.org/10.2339/politeknik.967341

Abstract

RF verilerinin doğru olarak değerlendirilmesi, göndericinin açık olduğu zamanın tam olarak algılanmasından veya bilinmesinden başlar, bu zorluk iki önemli konuyu içerir; kaçınılmaz arka plan gürültüsü gibi gereksiz bilgileri işlemeyi önlemek ki bu işlemi hızlandır ve diğer konu, o gönderenin tam davranışını incelemektir. Bu çalışmada, Akaike Bilgi Kriterini (AIC) kullanılarak Bluetooth sinyalinin geçici olarak başlangıcını otomatik olarak yakalamak için bir yöntem geliştirilmiştir. Önerilen yöntem, en yaygın cep telefonu markalarından farklı yollarla alınan gerçek veriler üzerinde sinyal-gürültü oranının değişimi ile incelenmiştir. AIC algoritması, yüksek genlikli rastgele bir gürültüden etkilenmediğini göstermiştir.

Keywords

Akaike bilgi kriteri, geçici durum algılama, bluetooth sinyali

Radio Frequency Transient Segment Detection Based on Akaike Information Criterion

Abstract

The 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.

Keywords

Akaike information criterion, transient detection, bluetooth signal

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