VOLUME-BASED SPECTRUM SENSING FOR COGNITIVE RADIO USING MULTIPLE ANTENNAS.

In this paper, we consider the use of Spectrum Sensing. The noise and primary user signal assumed as independent complex zero-mean, Gaussian random variables. The volume-based method for Spectrum sensing is analyzed, it can provide the properties of constant false alarm rate, and free of noise uncertainty. By comparing first and second moments for signals active and signals-deactivate hypothesis together with using Gamma distribution approximation and derive false alarm and detection probabilities. In the sense of detection performance, we compare Proposed method, Hadamard ratio test, AGM, John’s method and ED.