Abstract
This paper addresses the spectrum sensing problem in a calibrated multi-antenna cognitive radio. To do so, a composite hypothesis testing problem is formulated according to the covariance matrix of the received signal. Then, we resort to the likelihood ratio test (LRT) principle to derive some new LRT tests. This problem has been previously solved based on two-step Generalized LRT (2S-GLRT), leading to different detection strategies in comparison to this study; thus the proposed method is referred to as an exact spectrum sensing method. We provide some simulation results to show that the detection performance of the proposed detectors is better than their counterparts, derived based on the 2S-GLRT, as well as some other state-of-the-art approaches given in the literature.
Sign-in/Register to access full text options 
Free) 
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
