Spectrum Sensing Using Bayesian Method for Maximum Spectrum Utilization in Cognitive Radio
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2014, Vol 17, Issue 5
Abstract
With increase demand for spectrum, it is necessary to detect the spectral holes in the static frequency assignment. Using cognitive radio the spectrum can be sensed to increase the efficient usage of spectrum by secondary users when the MPSK (M>2) modulated primary user is idle. In this paper we have derived an optimal Bayesian detector for MPSK modulated primary user over AWGN channel with corresponding suboptimal detector in low and high SNR walls. We give an analysis of detection based methods like energy detector, cyclostationary detector, and matched filter detector with Bayesian method. The performance of spectrum sensing methods is verified using the simulation results.
Authors and Affiliations
Anurama Karumanchi, Mohan Kumar Badampudi
Keywords
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- EP ID EP94480
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