Comparative Study of Spectrum Sensing for Cognitive Radio System Using Energy Detection over Different Channels

Abstract

The radio spectrum is the most source that needs to be utilized using cognitive radio (CR) system Detecting primary users (PU) over the spectrum is one of the problems that face cognitive radio system. To overcome this problem, we use sensing techniques like energy detection, matched filter detection and Cyclostationary feature detection. This paper focuses on spectrum sensing using energy detection technique for both cases over additive white Gaussian noise(AWGN) channel and Rayleigh fading channel. Also plots of the probability of missed detection (Pm) vs. probability of false alarm (Pf) for both channels were obtained using MATLAB software.