A Method of Space-frequency Compressed Sensing on Wideband Spectrum Detection

Compressed Sensing (CS) technology paves the way for quick wideband spectrum detection and the WSN based on CS can provide Cognitive Radio (CR) users with the spectrum information. For the spectrum data detected in WSN, a two-dimensional compression Space-Frequency Compressed Sensing (SFCS) model is established in the space and frequency domain, and the corresponding algorithm for reconstruction is proposed and the performance of SFCS is analyzed. The simulation results show that SFCS needs less transmitted data than the traditional model on the same detection probability and the performance of Receiver Operating Characteristic (ROC) in the algorithm is better than that of traditional method on the same total compressed rate.