Dynamic-Double-Threshold Energy Detection Scheme under Noise Varying Environment in Cognitive Radio System

Abstract

In cognitive radio, spectrum sensing is a key component for securing the licensed terminal from interference and detects the white spectrum hole to improve the spectrum efficiency. In the existing techniques, the noise uncertainty was either not considered or only detrimental effects are mitigated without much performance improvement. Therefore, a novel dynamic-double-threshold energy detection scheme is proposed under noise uncertainty, and its performance has been studied. Simulation analysis and results show that the proposed scheme improves the performance of detection for smaller values of false alarm probability. It is also found that the detection probability is reached at a satisfactory level, even under varying noise uncertainty.