Based on the fact that the spectrum in cognitive radio system is typically sparse, a novel wideband spectrum sensing algorithm is proposed taking advantage of Bayesian compressed sensing. Under our proposed scheme, the signal of interest can be sampled at sub-Nyquist rate so relaxing the sampling tension of front-end hardware. Furthermore, the block structure of the spectrum molded by a set of double-level binary tree is also exploited in the spectrum sensing process so promoting the spectrum sensing accuracy with lower sampling rate. Taking the MCMC sampling method as efficient inference, exp...
