Cognitive Radio Spectrum Sensing Based on Index Belief Degree Function

Nowadays, cognitive radio technology is an intelligent spectrum sharing technology. In order to ensure the licensed users will not be interfered, cognitive(unlicensed) users must be able to detect the spectrum vacancy fast and reliably. For several existing multi-node detection schemes didn´t take the test results´ reliability of the cognitive users in different locations into consideration, this paper Combines the real environment of wireless communication and proposes an optimized spectrum sensing algorithm based on the index belief degree function after improving on the distributed spectrum sensing algorithm. The simulation results show that the novel algorithm has improved a lot in the detection performance than the existing technology. It has a good anti-jamming performance, a low false alarm probability and a high detection probability, which improves the spectrum utilization rate.