Cooperative spectrum sensing method and device based on dimensionality reduction and clustering in cognitive network

The invention provides a cooperative spectrum sensing method and device based on dimensionality reduction and clustering in a cognitive network. The cognitive network includes one authorized user andat least one cognitive user. The method comprises the steps that a cognitive user detects the energy of a frequency spectrum and forms an energy vector, a multi-dimensional feature matrix is obtainedaccording to the energy vector, the multi-dimensional feature matrix is converted into a low-dimensional feature matrix by using a PCA algorithm, and the classifier is trained by using the low-dimensional feature matrix as the input of the classifier according to a K-means + + algorithm so as to sense the frequency spectrum. According to the method, the PCA algorithm and the K-Means + + algorithmare fused; not only can the accuracy and reliability of spectrum sensing be improved, but also the sensing time delay can be reduced, the dynamic spectrum situation evolution trend can be predicted, so that the dynamic spectrum