A novel primary user detection using OFDM internal structures on Raspberry Pi
by Mobin Alizadeh; Javad Kazemitabar
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 23, No. 3/4, 2022

Abstract: Using autocorrelation-based techniques for detecting (Orthogonal Frequency Division Multiplexing) OFDM signals in cognitive radio systems is well studied. Correlating the cyclic prefix with its replica provides a means to distinguish an OFDM signal from noise as shown in previous research. A subtle yet crucial shortcoming of this autocorrelation-based method is that it may mistake a sinusoidal for an OFDM signal. All for that to happen is for the sinusoid to have the proper period; the algorithm would then find a repeating pattern and declare OFDM signal detection. In this paper, we modify the conventional autocorrelation-based method to avoid generating false-alarms in the presence of sinusoidal signals. We test our algorithm on a custom-built Raspberry Pi.

Online publication date: Mon, 12-Dec-2022

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