Energy-efficient-based detecting method of multi-task Bayes compressed sensing broadband spectrum

The invention discloses an energy-efficient-based detecting method of a multi-task Bayes compressed sensing broadband spectrum. Specific to the sparsity of a main user signal at a empty frequency domain in the course of recognizing a wireless network, the detecting method obtains the estimated sparse signal through layering Bayes analysis hierarchical prior model on the basis of a signal reconstruction of Bayes compressed sensing. By applying a space correlation of a multi-cognitive user sensing signal, the sparse signal reconstruction and broadband compressed spectrum detection under the transmission conditions of multiple users and tasks is realized. A cognitive base station carries out the multi-task Bayes compressed sensing parameter estimation on the basis of expectation maximization algorithm and related vector machine model. Under the condition of satisfying a certain detecting performance and Bayes compressed sensing reconstruction mean square error, the node sensing energy consumption is minimized. The energy-efficient-based detecting method effectively guarantees the effectiveness of node energy of multi-node and multi-task broadband spectrum detection.