Spectrum sensing with standart and demmel condition number under Gaussian approach

In recent years, the use of wireless communication systems and wireless network services has increased exponentially, causing spectrum scarcity. In addition, fixed spectrum assignment policies further contribute to spectrum scarcity. The application of dynamic spectrum access, which is the basis of Cognitive Radio systems rather than fixed spectrum assignment, plays an important role in solving the spectrum scarcity problem. Dynamic spectrum access means identifying and re-evaluating idle spectrum regions. Empty spectrum regions are determined with the help of suitable detectors, a process known as spectrum detection in the literature. In this study, we propose two new detectors under the assumption of normality with the help of Standard Condition Number and Demmel Condition Number statistics. Theoretical analyses were made, and thresholds obtained for the proposed detectors. To evaluate the performance of the proposed detectors, they were compared with several detectors in the literature (MME, DCN, SNE) in terms of detection performance and detection times. It is clear from the simulation studies that the detection performance of the proposed detectors was better.