An effective wideband spectrum sensing method based on L1-SVD algorithm

This paper presents an effective wideband spectrum sensing method based on compressed sensing theory. By making use of temporal smoothing technique, the proposed approach gives an effective sparse signal representation method for wideband spectrum sensing problem. After that, the proposed method can effectively obtain the sparse coefficients by L1-SVD algorithm so that all spectral holes can be detected. Finally, several simulation results are presented to testify the effectiveness of the proposed approach.