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

Feng Li, Zongben Xu
2014 IEEE Signal Processing Letters  
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
more » ... the power spectral density (PSD) map. Index Terms-Bayesian hierarchical model, cognitive radio, compressive sensing, cooperative spectrum sensing, sparse estimation, variational message passing.
doi:10.1109/lsp.2014.2311902 fatcat:m7phj6ylifaebmcjgbdavwjsey