Sparse Bayesian Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks

作者：Li Feng^*; Xu Zongben

来源：IEEE Signal Processing Letters, 2014, 21(5): 586-590.

DOI：10.1109/LSP.2014.2311902

• Bayesian hierarchical model
• cognitive radio
• compressive sensing
• cooperative spectrum sensing
• sparse estimation
• variational message passing

This letter proposes a new method for cooperative spectrum sensing by exploiting sparsity. The novel scheme uses the theory of Bayesian hierarchical prior modeling in the framework of sparse Bayesian learning. This model has sparsity-inducing penalization terms leading to sparser solutions compared with typically norm based ones. Based on the factor graph that represents the signal model of the hierarchical prior models, the variational message passing (VMP) algorithm is implemented to estimate the power spectral density (PSD) map.

• 出版日期2014-5
• 单位西安交通大学