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    RADIO FREQUENCY TRANSIENT SEGMENT DETECTION BASED ON AKAIKE INFORMATION CRITERION
    (2022-02) Ajouat, Saleh Abulgasem Khalifa
    In this thesis, a technique has been developed and modified to catch the onset in transient segment of radio frequency (RF) Bluetooth signal using of the common Akaike Information Criterion (AIC) and also by using the alternative version named Alt-Akaike Information Criterion (Alt-AIC) in automatic mechanism. Definitely the automatic detection of actual signal is essential part in many fields especially in Radio Frequency communications, the optimum process leads to interpret RF data efficiently and quickly for any purposes and abstain handling redundant information like background noise. In this research, a turn on moment of Radio Frequency transmitters has been detected in variety ways with different sampling rate. A comparison has been made between regular method of Akaike Information Criterion (AIC) and Alternative version of Akaike Information Criterion (Alt-AIC) to demonstrate the ability of both methods to estimate the weak up moment in transient of Bluetooth signal. Both methods have been evaluated on most popular cellular smartphones brands by variety ways with different levels of signal to noise ratio SNR. Both algorithms show high performance, less consuming time, low complexity and robustness in noisy processes with advantage of Alt-AIC over the traditional method AIC. The picking performance demonstrates the feasibility of both methods. The success of automatic estimation leads to precise interpreting of RF data by cease handling useless information such as inescapable noise and study the exact behavior of particular transmitter.