Gerschgorin disk-based robust spectrum sensing for cognitive radio

Spectrum sensing is a fundamental problem in cognitive radio. In this paper, we introduce two spectrum sensing methods based on Gerschgorin disk. The Gerschgorin radii contain the information of signal subspace, whereas the Gerschgorin centers capture the signal energy. The first proposal only relies on the Gerschgorin radii and thereby is robust against nonuniform noise. The second one, utilizing both the Ger-schgorin radii and centers, can significantly improve the detection performance. Simulation results are included to illustrate the superiority of the proposed methods.