Cooperative Compressive Spectrum Sensing in Cognitive Radio Based on W-OMP

Spectrum Sensing is an intensively studied topic in cognitive radio to locate unoccupied spectrum for improved channel utilization. However, the problem becomes more challenging in wideband spectrum sensing due to the limitation of hardware operational bandwidth. In this paper, we introduce a cooperative compressive spectrum sensing scheme to monitor the wideband spectrum usage in both frequency and space domain. The joint estimation enables secondary users (SUs) to identify (un)used frequency bands at arbitrary locations, and thus facilitates spatial frequency reuse. A novel weighted-Orthogonal Matching Pursuit (W-OMP) spectrum reconstruction algorithm based on OMP is developed to mitigate the effect of path shadowing and is able to significantly improve the detection performance. In addition, the implementation of W-OMP can be further simplified by taking advantage of the channel information. The simulation experiments show the feasibility of the proposed scheme, and demonstrate the superior performance of this method.