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Performance Optimization of Software Defined Radio (SDR) based on Spectral Covariance Method using Different Window Technique


Author(s):

Ravi Raj Joshi , Oriental University, Indore; Manish Pradhan, Oriental University, Indore

Keywords:

Enter Cognitive Radio, Software Define Radio, Spectrum Sensing, Spectrum Sharing (SS), Throughput Maximization

Abstract:

In past few years cognitive radio has attain the focus of various researchers to design to strengthen the technology become more advance day by day. In this regards the sufficient consumption of present frequency spectrum is the prestigious task. The searching of vacant band of frequency means of getting spectrum sensing issue allows the new concept through cognitive radio as the valuable opportunistic spectrum. With this review paper, a possible algorithm is proposed for the detection of spectrum sensing methodologies in the cognitive radio environment. By using this paper, we emphasize on how to maximization the decision accuracy of cognitive radio by using software defined radio under various noise condition. Cognitive radio is basically an auto intelligent design model with the large capabilities to get the idea about the surrounded radio environment through optimum sense, detection and modify the real time operating parameter as per the requirements of unlicensed or secondary user. The new distribution of data rates for the purpose of transmission in field of radio communication can be made possible. At last, we will reach to conclusion part through an analysis of simulation results after multiple approximations, in order to illustrate the optimized performance with better decision accuracy. The improved throughput by the proposed algorithm will give the far better performance as compared to other conventional spectrum sensing method.


Other Details:

Manuscript Id :IJSTEV3I3103
Published in :Volume : 3, Issue : 3
Publication Date: 01/10/2016
Page(s): 168-172
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