A Novel Spectrum Sensing Algorithm Based on Compressive Sensing for Cognitive Radio

Dynamic spectrum management is the key technology in cognitive radio network, of which the first task is spectrum sensing. So spectrum sensing plays an importance role in cognitive radio network. In this paper a new spectrum sensing algorithm is proposed, which is based on compressive sensing (CS) and multitaper method combined with singular-value decomposition (MTM-SVD) to estimate frequency spectrum and detect spectrum hole. The new algorithm is validated by the data from GSM network, and simulation results show that the new algorithm can achieve good detection performance and afford reduced sampling rate.