International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,May 2016,

Topic : An Improved Blind Source Separation Using Bispectrum Slide Detection in Blind Spectrum Sensing

Authors:Rina Parikh || Shreya Matta, Anusha Garg

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..

Keywords: Bispectrum Slide; Blind Source Separation (BSS); Cognitive radio(CR); Kurtosis; Random Matrix Theory (RMT);

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DOI: 01.1617/vol3iss5pid216


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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