Research Article
Vivek Baghel · Dr. M. R. Khan
Journal
International Journal of Digital Applications and Contemporary Research (IJDACR)
ISSN
2319-4863
Volume / Issue
Vol.5 · Issue 4
Published
November 2016
Access
Open Access
Licence
CC BY-NC-SA 4.0
With the rapid development in wireless communications, the demand for the high data transmission require increases in spectrum resources because of fixed spectrum assignment policy is characterized in wireless network these lead to low spectrum utilization in many frequency bands but the availability of the spectrum resources is limited. Cognitive radio is key enabling technology for improving the utilization of electromagnetic spectrum. It senses the spectral environment over wide range of frequency band and exploits the unoccupied band.
One of the most challenging issues in cognitive radio system is to sense the spectrum environment accurately and determine whether the primary user is active, or not over a specific band reliably. So, there is need of good sensing algorithm have the property have low sensing time, ability to detect primary signal at low SNR. Energy detection method is an efficient spectrum sensing technique for high SNR environment but it gives poor performance under low SNR. So by applying some technique result can be improved. Therefore, in this paper a comparative research is performed among energy detection, Eigenvalue based detection and PSO optimized singular value based detection methods in order to obtain improved result. Performance analysis and comparison of techniques are carried out and developed on MATLAB 2014 R.
Vivek Baghel, Dr. M. R. Khan (2016). Comparative Analysis of Energy Detection, Eigenvalue Detection and PSO Optimized Singular Value Detection Techniques for Cognitive Radio Networks. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.5, Issue 4. ISSN: 2319-4863.
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