Abstract

In this paper, we present an iterative spectrum sensing scheme for multiantenna assisted cognitive radio (CR) using the expectation-maximization (EM) algorithm. Considering a wideband frequency spectrum, the secondary user (SU) performs an EM-based joint estimation and detection (JED), where the channel coefficients and noise variance are estimated jointly with the primary user (PU) signal variance. We also provide a semi-analytical evaluation of the proposed scheme using the Neyman-Pearson criterion. Compared with the conventional Generalized Likelihood Ratio detector (GLRD), the EM-based JED scheme enhances the detection process of the multiple antenna CR with few iterations and modest complexity.

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 call

Disclaimer: 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.