Due to limited availability of spectrum for licensed users only, the need for secondary access by unlicensedusers is increasing. Cognitive radio turns out to be helping this situation because all that is needed is atechnique that could efficiently detect the empty spaces and provide them to the secondary devices withoutcausing any interference to the primary (licensed) users. Spectrum sensing is the foremost function of thecognitive radio which senses the environment for white spaces. Energy detection is one of the variousspectrum sensing techniques that are under research. Earlier it was shown that energy detection worksbetter under AWGN channel as compared to Rayleigh channel, however the conventional spectrum sensingtechniques have a high probability of false alarm and also show a better probability of detection for highervalues of SNR. There is a need for a new technique that shows a reduced probability of false alarm as wellas an increase in the probability of detection for lower values of SNR. In the present work the conventionalenergy detection technique has been enhanced to get better results.
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