Cognitive Radio Network as Wireless Sensor Network (II): Security Consideration
This paper in a series of using cognitive radio network as wireless sensor network. The motivation of the paper is to push the convergence of radar and communication systems into a unified cognitive network. This paper studies this vision from a secure point of view. The authors propose two methods for robust spectrum sensing in the same framework of cognitive radio network. The first method is based on robust Principal Component Analysis (PCA), to separate spectrum sensing results into the low rank signal matrix and the sparse attack matrix. Using sparse attack cancellation in least squares, the second method iteratively estimates the relative transmitted power of primary user under the threats of attackers.