Improved Detection Performance of Energy Detection Based Spectrum Sensing in Cognitive Radio Networks

Background: In cognitive radio networks, spectrum sensing plays an important role in identifying the underutilized spectrum bands. Conventional spectrum sensing by the energy detection method uses a single detection threshold, which degrades the detection performance. Methods: Therefore double detection threshold has been proposed for spectrum sensing in the literature to improve the detection performance, but the performance depends on the region between two thresholds, termed as confusion state. Hence to improve the overall detection performance new resensing scheme has been proposed in this paper by varying the difference between thresholds by an improvement factor K. Results: The proposed method improves the detection performance compared to the single threshold method and double threshold method. Conclusion: Simulation results show that the proposed method operates better than the single threshold energy detection method and improves the detection performance at low signal-to-noise ratios.