Signal detection, is a very important issue in cognitive networks. therefore,= it is necessary to have a criterion for evaluating the degree of correctness and reliability of the signals. in this paper, we used the separability degree as a criterion for separting and identifying noise from the main signal. this method supposes two states for our signal that are false detection of weak signal, and correct detection of the main signal.