查看文章

In cognitive radio networks, Spectrum sensing is most important task for avoiding the unacceptable interference to primary users. The performance of spectrum sensing is based on the threshold value used in the sensing scheme. The existing co-variance based spectrum sensing technique use a fixed threshold which does not ensure sufficient protection to Primary users. Hence, Co-variance based adaptive threshold spectrum detection optimized with Chameleon Swarm optimization for Optimum threshold selection in Cognitive Radio Networks is proposed for appropriate security to the primary user and also reduces the total error probability. In this, the threshold selection is based on constant false alarm rate (CFAR) principles and constant detection rate (CDR) principles. Besides these principles the threshold can be derived by reducing the total probability of decision error. Hence co-variance based adaptive …