Abstract
In the cognitive radio (CR) technology that has developed vigorously in recent years, the existing spectrum sensing algorithms have low detection performance in low signal-to-noise ratio(SNR). The optimal correlation window size and optimal spectral correlation ratio under different SNR signals are studied, and an adaptive correlation window energy detection algorithm is proposed in this paper. The algorithm uses rough resolution detection for spectrum sensing, and then uses adaptive spectral correlation ratio and correlation window size parameters for fine resolution detection, which can solve the problem of poor detection performance when detecting low SNR signals. The simulation results show that under the condition of ensuring the detection performance, the SNR is reduced by about 3dB compared to the existing algorithm.
Sign-in/Register to access full text options 
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.
