Abstract—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 separating 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.
Index Terms—About cognitive radio, correct detection (hit), false alarm, signal detection, degree of separability, threshold.
Hadi Alipour is with the Payame Noor University, Tehran, Iran (e-mail: Tangehana@gmail.com).
Saeed Ayat was with the sharif Industrial University, Tehran. Iran. He is now with the Department of computer, najaf-abad, Payamr Noor University (e-mail: email@example.com).
Cite: Hadi Alipour and Saeed Ayat, "Identifying Degree of Separability in Signal Detection, for Using in Cognitive Radio Approach," International Journal of Computer Theory and Engineering vol. 4, no. 5, pp. 781-783, 2012.