Research on spectrum detection algorithms based on data fusion in cognitive radio systems

According to the property of highly spectrum detection performance, a novel spectrum detection algorithm based on data fusion was presented. In this paper, the expression of log-likelihood ratio function about received data in fusion center and the number of secondary users confirmed that primary users being was studied firstly. The secondary users´ number was referred ahead including tow parts, one is correct decision and the other is false-alarm decision. Then, the detection performance in fusion center was derived according to the statistical characteristics. Simulations show that the proposed scheme outperformed traditional algorithms, such as the schemes of “Logic-And” and “Logic-Or”. Compared with single cognitive radio detection scheme, the performance of proposing scheme improved evidently.