doi: 10.7763/IJCTE.2012.V4.577
Identifying Degree of Separability in Signal Detection, for Using in Cognitive Radio Approach
Hadi Alipour1
,
Saeed Ayat2,3
- 1Payame Noor University, Tehran, Iran.
- 2sharif Industrial University, Tehran. Iran
- 3Department of computer, najaf-abad, Payamr Noor University.
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.
Keywords
- About cognitive radio
- correct detection (hit)
- false alarm
- signal detection
- degree of separability
- threshold
How to 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. https://doi.org/10.7763/IJCTE.2012.V4.577
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).