Author : Rina Parikh 1
Date of Publication :7th May 2016
Abstract: Cognitive radio is a pivotal solution to combat the existing problem of inefficient usage of spectrum bands. Spectrum sensing is one of the most important issues in cognitive radio system. The unlicensed secondary user should detect the available idle spectrum resource accurately and thus reuse it opportunistically. Blind spectrum sensing refers to a condition where the signal can be detected under low SNR environment without any prior knowledge about the gain, noise variance and threshold of the channel. Based on the concept of Random Matrix Theory and Blind Source Separation method, a novel spectrum sensing approach is proposed using Bispectrum slide detection analysis. The novel approach of combining Random Matrix Theory with Bispectrum Slide detection based blind source separation in blind spectrum sensing has been proposed in this paper. Simulation results of proposed algorithm are obtained in the form of receiver operating characteristic curves. The results indicate that the proposed approach gives better results with less complexity than commonly used blind spectrum detection techniques.
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