Abstract
As spectrum sensing detects the presence of PU signal, an efficient and reliable spectrum sensing scheme plays a critical role in CR. For this purpose, sequential sensing technique is introduced to reduce the sensing time to the minimum while desirable detection performance is maintained. However the sensing time could still be unacceptably long due to the weak PU signal, especially in non-Gaussian noise. To improve spectrum sensing efficiency, we propose a novel sequential sensing scheme based on suprathreshold stochastic resonance (SSR). We address the theoretical bound to achieve potential performance improvement and give the applicable algorithm of SSR-based sequential sensing scheme. In the scheme, the average sample number (ASN) is reduced in a single sensing node using nonlinear stochastic resonance method. The simulation results show that the proposed scheme significantly outperforms the conventional scheme, especially in low signal-to-noise ratio (SNR) scenario.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
