Sensoriamento Espectral Baseado em Testes de Normalidade

Spectrum Sensing is studied to determine if a signal, measured by a cognitive user in an AWGN channel, results from the primary user or if is composed by noise one. The proposed method for spectrum sensing is based on normality tests. The results of Monte-Carlo simulations indicate that it is possible to identify transmission opportunities through spectrum sensing tests, with probability of detection of 0.9 for a signal to noise ratio around -17 dB and a probability of false alarm of 0.01