Radio Frequency Transient Segment Detection Based on Akaike Information Criterion

The precise interpreting of RF data starts from retrieving or knowing the exact time instant at which moment sender is turned on, this challenge implies two important issues; prevent manipulating redundant information such as unavoidable background noise speed up processing and other issue to study behavior that sender. A method has been developed automatically catch onset in transient Bluetooth signal using Akaike Information Criterion (AIC). Present examined on real world taken most common cellular phones brands by different ways with variation ratio. AIC algorithm shows robustness existence relatively a high-amplitude random noise.